operations management phd topics

How it works

Useful Links

How much will your dissertation cost?

Have an expert academic write your dissertation paper!

Dissertation Services

Get unlimited topic ideas and a dissertation plan for just £45.00

Order topics and plan

Get 1 free topic in your area of study with aim and justification

Yes I want the free topic

Operations Management Dissertation Topics

Published by Alvin Nicolas at January 9th, 2023 , Revised On July 18, 2024

Introduction

Selecting an appropriate topic is perhaps the most important aspect of the dissertation module. Students spend months and years (in the case of a PhD) on their dissertation projects. Therefore, it is critical to choose an interesting but manageable topic of research. Selecting the right topic can also help complete the paper to the highest quality and within the allocated deadline framework.

This article aims to provide comprehensive support in the selection of a suitable operations management dissertation topic. All the topics presented in this piece are carefully short-listed on the basis of the following important factors;

A topic must have a recent research interest/popularity in academics
Data must be available to analyse the recent research to develop a case of research in the form of a step forward (contribution factor)
The topic must be manageable with respect to the availability of time and resources
The chosen topic should encourage the students to explore and investigate to further the research in their preferred area

Writer’s suggestion : Before selecting a topic, outline the type of research you intend to undertake given the available time and monetary resources; such as whether to perform primary or secondary and qualitative or quantitative. For example, you might not be able to conduct a cross-national survey based on primary research, as it can turn out to be a difficult and unmanageable task.

Therefore, it is important to select a topic which you can manage within the given resources; to produce high-quality results that would eventually lead to a high academic score. The following topics are much emphasised in today’s academic world, and you can rely on these topics with utmost trust.

Some of these topics can also include primary research, which may include conducting interviews and/or questionnaires with industry practitioners to suggest the most efficient systems and to present the pros and cons of each system based on the data obtained through primary research.

These operations management dissertation topics have been developed by PhD-qualified writers of our team , so you can trust to use these topics for drafting your dissertation.

You may also want to start your dissertation by requesting a brief research proposal from our writers on any of these topics, which includes an introduction to the topic, research question, aim and objectives, literature review, and the proposed methodology of research to be conducted. Let us know if you need any help in getting started.

You may want to read about our business writers to see how we can help ease your workload. Check our free example dissertations and free business and business management dissertation examples to get an idea of how to structure your dissertation.

Review the full list of dissertation topics here.

International Development Dissertation Topics
Cooperate Governance Dissertation Topics
Business Intelligence Dissertation Topics
Business Information Technology Dissertation Topics
International Business Dissertation Topics
Business Management Dissertation Topics
Business Psychology Dissertation Topics
Business Law Dissertation Topics
Project Management Dissertation Topics
Business Dissertation Topics
HRM Dissertation Topics
Management Dissertation Topics

Operations and Management Research Topics

Topic 1: investigating the risks associated with green technology in the chinese construction industry..

Research Aim: This research study aims to investigate the challenges that project managers face while managing Chinese green technology construction projects and the risks associated with it. This study will also examine the relationship between the challenges related to green construction and its impact on its success and will also find improvement in the development of green technology.

Topic 2: Analysing the operational risk in outsourcing software projects for international companies.

Research Aim: The concept of outsourcing is a trending topic nowadays. This research study aims to find the operational risk perceived in the process of outsourcing software projects in international companies and how they eliminate operational risks during the process.

A conceptual framework will be used to investigate the risks for strategic IT system development outsourcing projects.

Topic 3: How do the merger and acquisition of a company affect the performance of its employees? An exploratory study identifying the factors that affect employee's performance. A case study of (Any company or companies can be studied)

Research Aim: This research aims to find the impact of the merger and acquisition of a company on its employees’ performance. This research will use a company or companies as a case study that went through a merger and acquisition. To identify different factors that affect the performance of employees during and after merger and acquisition. And after identifying those factors and their impact on the performance of employees. The research will also recommend possible ways to minimise the impacts of those factors on employees’ performance.

Topic 4: Impact of strategic management on the financial performance of companies

Research Aim: This research aims to find the impact of companies’ strategic management on their financial performance. This study will use indicators suggested by extensive literature in strategic management to gauge the strategic planning done by these companies. The study will then identify to what extent those indicators affect the companies’ financial performance under observation. Based on the results, the study will recommend improvement in the areas that can improve the strategic management of those companies. That, in consequence, will improve the financial performance of those companies.

Topic 5: Analysing the operational risks associated with the manufacturing of automobiles and the role of plant managers in reducing these risks.

Research Aim: This research study aims to identify and analyse the risks that businesses face during the manufacturing of automobiles and vehicles. And how plant managers proposed effective strategies to reduce these risks. In this study, a conceptual framework of the operational model of management will help increase the overall effectiveness of automobile industries.

Topic 6: An assessment of the Company's tradeoff between innovation and uniformity- A case study of UK IT sector.

Research Aim: The primary goal of this study is to conduct an analysis of a company’s tradeoff between innovation and uniformity. This study will explore different components of the United Kingdom’s IT sector. It will give us an understanding of the importance of innovation and uniformity from a theoretical perspective and also examine the risk factors involved in the United Kingdom’s IT sector.

Topic 7: Operation Management- Comparison between different forecast approaches.

Research Aim: The main goal of this study is to examine various forecasting methodologies used in operation management. Furthermore, this research offers insight into product operation management and what contributes to making it more effective. In addition, this study will look at the aspects and effects of various approaches utilised in product operation management.

Topic 8: An examination of the Effectiveness of RBT in strategic operation management in the UK manufacturing industry.

Research Aim: The study aims to evaluate the effectiveness of RBT in strategic operation management in the United Kingdom’s manufacturing industry. This study highlights the effectiveness and also discusses the benefits and drawbacks of strategic operation management in the UK manufacturing industry. Furthermore, it also highlights the importance of RBT in the UK manufacturing industry.

Topic 9: Humanitarian operation management- A review of Literature

Research Aim: In this study, we will analyse different previous studies on humanitarian operation management to find its importance. This study will also look at different methodologies used in humanitarian operations. Different scientific advancements and technologies will also be covered in this study.

Topic 10: A study to Determine if Operations Management Solutions Effectively Meet the Needs of Home Care Organisations- An International Perspective.

Research Aim: The main goal of this research is to perform a comprehensive analysis of operational management activities in order to properly comprehend and evaluate them in order to determine the efficiency of various regularly employed strategies. It will also identify key methods utilised in operational management activities, how these solutions are implemented worldwide by home care companies, and how these methods will have an impact on home care organizations, and determine if they will have a favourable or bad impact.

Topic 11: A Study to Understand the Role of Data Analytics in Improving Operational Decision-Making

Research Aim: This research investigates the impact and significance of data analytics on improving operational decision-making processes. It will examine various methodologies, tools, and applications of data analytics and understand the role of data analytics in optimizing operational efficiencies and enhancing overall performance across diverse industries.

Topic 12: Analysing the Effects of Lean Six Sigma Methodologies on Reducing Patient Wait Times in Different Healthcare Settings

Research Aim: To investigate the effectiveness of Lean Six Sigma methodologies in reducing patient wait times within various healthcare settings. Through a comprehensive analysis of case studies, statistical data, and qualitative research methods, this study aims to evaluate the impact of Lean Six Sigma principles on improving operational efficiency and patient satisfaction.

COVID-19 Operations and Management Research Topics

Topic 1: impacts of coronavirus on global supply chains.

Research Aim: The coronavirus outbreak has resulted in a shortage of essential supplies, including safety equipment and diagnostic and clinical management. WHO (World Health Organisation) has organised a supply chain task force team (COVID supply chain system). This study will identify the details of this supply chain system and discuss how it works.

Topic 2: Intelligent operation management during COVID-19

Research Aim: As a result of COVID-19, industries are facing a lack of resources and staff. This situation calls for intelligent operation management to ensure the continuity of the operation during this challenging situation. This study will analyse how Intelligent operation management works during COVID-19, discussing its advantages, challenges, and possible solutions to improve it.

Topic 1: Impact of JIT on improving supply chain efficiency of large retail outlets

Research Aim: This research aims to identify the impact of JIT on improving the supply chain efficiency of large retail outlets

Topic 2: Operation management strategies B2B and B2C business model

Research Aim: This research aims to assess and compare the operation management strategies B2B and B2C business model

Topic 3: The role of ICT (Information and Communication Technology) in SCM (Supply Chain Management)

Research Aim: This research aims to identify the role of Information and Communication Technology in Supply Chain Management.

Topic 4: TQM (Total Quality Management) as a competitive advantage

Research Aim: This research aims to identify the role of total quality management as a competitive advantage.

Topic 5: A Big Data Approach to Optimizing Last-Mile Delivery in Online Retail

Research Aim: This research aims to identify the role of big data in optimizing last-mile delivery in online retail.

Original Operations Management Dissertation Topics

Topic 1: analysing the impact of enterprise resource planning (erp) on improving business operations of multinational companies..

Research Aim: The main purpose of this research will be to highlight the major benefits of ERP, which can facilitate multinational organisations to help in conducting business operations productively and effectively. The researcher will identify major factors of ERP that can be related to the effective execution of business operations while increasing the overall productivity and efficiency of the business.

Topic 2: Impact of Just-in-time (JIT) inventory on improving supply chain efficiency of large retail outlets

Research Aim: The researcher will identify the major advantages as well as disadvantages of using Just-in-time (JIT) inventory in the supply chain operations of the major retail outlets. In this study, the researcher will highlight major factors of Just-in-time (JIT) inventory that may directly or indirectly influence the effectiveness of the supply chain of large retail outlets while proposing recommendations to retail companies to increase the effectiveness and productivity of the company.

Topic 3: Analysing the pros and cons of outsourcing logistic operation activities in the construction industry of the UK

Research Aim: The main purpose of this qualitative-natured study will be to identify the major advantages and disadvantages of outsourcing logistic operation activities while focusing on its implementation in the UK construction industry.

Topic 4: Assessing and comparing the operations management strategies of B2B and B2C business models

Research Aim: The researcher aims to discover prompt operations management strategies that are being utilised by major B2B and B2C companies while taking examples of major key players in each of the business models. After identification, the researcher will compare those strategies and recommend the best strategies and practices that can be utilised by each of the business models discussed in the study.

Topic 5: Analysing the operational risks involved in the manufacturing of automobiles and how can minimise these risks

Research Aim: The main aim of this study will be to identify and analyse the major risks that can be experienced by companies during the manufacturing of automobiles and vehicles while proposing effective strategies that can be used by plant managers to reduce these risks. In this study, the researcher will use a conceptual model of operational management, which helps increase the overall effectiveness of automobile industries.

How Can ResearchProspect Help?

ResearchProspect writers can send several custom topic ideas to your email address. Once you have chosen a topic that suits your needs and interests, you can order for our dissertation outline service which will include a brief introduction to the topic, research questions , literature review , methodology , expected results , and conclusion . The dissertation outline will enable you to review the quality of our work before placing the order for our full dissertation writing service !

Supply Chain Management Dissertation Topics

The supply chain is considered one of the most important aspects of business in any organisation, as optimum management in the supply chain leads to successful business operations. Therefore, it is pivotal for organisations to constantly enhance processes and techniques of the supply chain, which involve control, measurements, troubleshooting, adaptability, and innovation of new solutions. The following research topics are suggested for dissertation writing in the field of supply chain management;

Supply chain management and the related legal frameworks; Investigating the practices of the UK’s industrial sector
The strengths and weaknesses of the supply chain are large and diversified business organisations.
The role of supply chain in manufacturing industry of the UK: A comprehensive study to evaluate the impact of supply chain management
Influence of state-of-the-art technology-aided systems on supply chain management.
Impact of information technology on supply chain management
Case study of Dell, IMB and other supply chain control management systems being employed worldwide by large-scale organizations
Supply chain management and e-commerce
The role of ICT in supply chain management

Lean Manufacturing Dissertation Topics

The lean concepts are still young and in the stage of steady development. New concepts are coming into practice as the efficacy of the old ones continues to diminish. Research ideas that have been much emphasised in recent research studies include Total Quality Control (TQC), Total Quality Management (TQM), Just in Time (JIT), and Total productivity maintenance (TPM). Some interesting topics on this subject are listed below;

The influence of lean manufacturing techniques in operations management
Analyses of lean manufacturing techniques; Review of the most influential techniques currently being employed in the UK manufacturing Industry; an inside perspective (This may include primary research in which the actual users of different techniques will be requested to provide their views on the impact of different techniques and to recommend which of the techniques can be best used to enhance industry productivity and performance)
Total quality management as a competitive advantage: A case study of the UK’s industry (Dell/HP/Other)
The relationship between quality management and client Satisfaction: A case of the UK’s construction/manufacturing Industry (This can also include primary research from the perspective of clients/buyers who can be questioned regarding their experience of the construction quality they obtained. The data could then be used to provide key recommendations for quality management)
Practical implementation of lean manufacturing techniques: A review of how business organisations have successfully adopted various techniques
Influence of new technology on lean manufacturing techniques, such as the use of Business Information Modeling (BIM), SAP, and other tools for enhancement of quality and productivity
Evolution of quality from the perspective of the development of lean manufacturing techniques: A study on how industries have been shaped by lean concepts in the past and visualizing the future SOPs

“Complete this short online form and provide as much information as possible to receive instant quotes from our writers specialising in your area of research.“

Inventory Management Dissertation Topics

Inventory Management is another important component of supply Chain Management. A considerable amount of research has been conducted in this field of study in recent times, which highlights the need to establish effective processing techniques and systems so that business organisations can effectively measure/manage the operations of their respective industries.

Optimum inventory management enables control of costs, time, productivity, and delivery, which are considered to be the pillars of any industry. The following topics are presented for dissertation writing on inventory management:

The influence of optimum inventory management on supply chain management: A study on how effective inventory management systems can help to establish high-performing supply management systems in an industry
Analyses of inventory management systems being employed in the UK industries
The impact of latest technological developments on inventory management systems; A case study of the UK’s manufacturing Industry
Inventory management systems in the manufacturing industry: Methods, benefits, challenges and opportunities
Case study on inventory management in retail; A case study of ASDA/TESCO/SAINSBURURY. (Primary research-based: Data from different stores can be collected and compared)
The impact of Just in Time (JIT) on the UK’s inventory management systems
Adaptability of JIT inventory management in the UK
E-commerce inventory management systems

Product Development Dissertation Topics

New Product Development (NPD) and the role of Research and Development (R&D) in the process of product development have remained a focus of research and a trigger for intense academic debate in the last many years.

The most notable elements of product development include new concept developments, new product designs, product engineering, and market analyses and research.

Many organisations continually strive to develop new products and add these to their product pipelines to earn additional profits. From the consumer perspective, NPD enhances the brand image and provides a research and development edge to business organisations.

Evaluating the process of product development: The need and implications
Strategies of Product Development and the Product Mix
Strategies of product development in various Industries – A case study of a company of your choice. This can also include primary research where different systems can be compared and data analysed.
The role of latest technological advancements and computer-aided systems in product development; A case study of the UK’s research and development industry

Order a Proposal

Worried about your dissertation proposal? Not sure where to start?

Choose any deadline
Plagiarism free
Unlimited free amendments
Free anti-plagiarism report
Completed to match exact requirements

Production Planning / Scheduling Dissertation Topics

Production planning and scheduling are considered one of the most crucial aspects of the manufacturing industry because it helps to maintain optimum levels of productivity in accordance with the production plans.

Moreover, Production scheduling has a direct influence on the production business, as it impacts the fundamental elements of production and services, such as production lead times, quality maintenance, and maintenance of supply & demand, and overall client satisfaction. Therefore, research in the field of production planning has been prioritised in modern times, and efforts have been made to develop integrated systems that incorporate various variables and elements of the production plan. Following are some of the selected topics that can be chosen for further research and dissertations;

Production Scheduling Analysis: A review of techniques employed in the UK’s Manufacturing Industry
Analyses of Production Scheduling/Planning Techniques in Different Manufacturing Industries (Car Industry/Process industry/Steel Industry/Cement Industry)
Production Scheduling/Planning Techniques and Profitability of Different Manufacturing Industries (Car Industry/Process industry/Steel Industry/Cement Industry)
The Role of Latest Technological Advancements and Computer Aided Systems in Production Scheduling
The Role of Information Technology and Innovation in Production Scheduling

Supply Chain Management and Manufacturing Strategy Dissertation Topics

Supply Chain Management (SCM) is a systematic operation that facilitates the manufacturing of a product from raw materials. The manufacturing strategy includes the methods of producing goods and is designed in accordance with the business objectives. Some of the latest supply chain management and manufacturing strategy dissertation topics are given below;

Manufacturing strategy: Investigating the importance of optimised manufacturing strategy for successful business operations
Review the manufacturing strategies of the UK’s automobile industry/ process industry/ manufacturing industry / any other industry of your choice.
The impact of new technologies on the development of optimised manufacturing strategies and techniques
Supply chain management: Investigating the importance of optimised supply chain management techniques for successful business operations
Examining supply chain management strategies of the UK’s automobile industry/process industry/manufacturing Industry / Any other industry of your choice
Use of latest technologies for efficient supply chain management over the last decade (This may include primary research where data would be obtained from the practitioners of manufacturing/other industries via e-mail, interviews and/or questionnaire)

Risk Management Dissertation Topics

Industrial risk management is one of the most researched topics of recent times. Almost every engineering or financial activity involves risks in terms of their consequences and probabilities. The course of the future cannot be fully predicted. Of course, however, various actions can be undertaken to manage/mitigate these risks.

Analysis of various factors that can contribute to the risks, such as political influence, oil prices and exchange rates, equipment performance characteristics, availability of resources, local conditions/environment, etc., can lead to the development of optimised risk management systems for improved project performance.

Investigating the risk management systems of the construction industry/automobile Industry/pharma Industry/banking Industry / retail Industry
Risk management in the construction industry: How the construction industry can mitigate different types of risks
Analyses of factors that contribute to risk in industrial operations; Developing guidelines/best practices to manage industrial risks
Risk management and the use of advanced technological tools: Is technology really helping to mitigate risks? (This may include the Use of primary data to find out if the use of computer-aided tools has helped the industry mitigate risks)
Risk management methodologies: A review of different methods of risk management employed in the UK
Risk Management for Contractors in the Saudi Arabian Construction Industry
Examining risks associated with Green technology in the Chinese construction industry
Managing Environmental risks in Chinese construction industry

Service Design Dissertation Topics

The efficient management of infrastructures, communications systems, components, materials, and human resources holds the key to improved quality of services. Therefore, it is extremely important to optimise service planning because it can ensure profitability as well as productivity for the service provider. Following are some service design dissertation topics that may concern the students;

The impact of future technology on service design
Service design analyses of Dell/HP/Other
Service design analyses of the UK’s food chain Industry
E-commerce web services design and implications
Service organisation’s fundamental design requirements & marketing strategies
Innovative solutions in service design

Hire an Expert Writer

Orders completed by our expert writers are

Formally drafted in academic style
Free Amendments and 100% Plagiarism Free – or your money back!
100% Confidential and Timely Delivery!
Appreciated by thousands of clients. Check client reviews

Logistics Dissertation Topics

Logistics is a critical operations management system that helps to manage the flow of goods or services from start to end. Logistics involves operations such as supply chain management, procurement, transportation, inventory, material handling, packaging, and integration of information between different teams. Some interesting topics for Logistics dissertations are listed below:

Logistics operations: An evaluation of the logistics management systems in the UK’s construction/manufacturing / another sector of your choice
Impact of intermodal international logistics on the operation of the UK’s construction/manufacturing / another sector of your choice
Review of logistic management principles and practices employed by the UK‘s industrial sector
Optimization of logistics management systems; A review of best practices and procedures
Case study analyses: A review of the Logistics Management in TESCO/ASDA/Sainsbury/Other; Is there a competitive advantage?
Impact of the latest technology on logistics management

Important Notes:

As a student of operations management looking to get good grades, it is essential to develop new ideas and experiment with existing operations management theories – i.e., to add value and interest to your research topic.

The field of operations management is vast and interrelated to so many other academic disciplines like business , management , marketing , project management , and more. That is why it is imperative to create an operations management dissertation topic that is particular and sound and actually solves a practical problem that may be rampant in the field.

We can’t stress how important it is to develop a logical research topic; it is the basis of your entire research. There are several significant downfalls to getting your topic wrong: your supervisor may not be interested in working on it, the topic has no academic creditability, the research may not make logical sense, and there is a possibility that the study is not viable.

This impacts your time and efforts in writing your dissertation as you may end up in a cycle of rejection at the very initial stage of the dissertation. That is why we recommend reviewing existing research to develop a topic, taking advice from your supervisor, and even asking for help in this particular stage of your dissertation.

Keeping our advice in mind while developing a research topic will allow you to pick one of the best operations management dissertation topics that not only fulfill your requirement of writing a research paper but also add to the body of knowledge.

Therefore, it is recommended that when finalizing your dissertation topic, you read recently published literature to identify gaps in the research that you may help fill.

Remember- dissertation topics need to be unique, solve an identified problem, be logical, and can also be practically implemented. Take a look at some of our sample operations management dissertation topics to get an idea for your own dissertation.

How to Structure Your Operations Management Dissertation

A well-structured dissertation can help students to achieve a high overall academic grade.

A Title Page
Acknowledgements
Declaration
Abstract: A summary of the research completed
Table of Contents
Introduction : This chapter includes the project rationale, research background, key research aims and objectives, and the research problems to be addressed. An outline of the structure of a dissertation can also be added to this chapter.
Literature Review : This chapter presents relevant theories and frameworks by analysing published and unpublished literature available on the chosen research topic in light of the research questions to be addressed. The purpose is to highlight and discuss the relative weaknesses and strengths of the selected research area whilst identifying any research gaps. A breakdown of the topic and key terms can have a positive impact on your dissertation and your tutor.
Methodology : The data collection and analysis methods and techniques employed by the researcher are presented in the Methodology chapter, which usually includes research design , research philosophy, research limitations, code of conduct, ethical consideration, data collection methods, and data analysis strategy .
Findings and Analysis : The findings of the research are analysed in detail under the Findings and Analysis chapter. All key findings/results are outlined in this chapter without interpreting the data or drawing any conclusions. It can be useful to include graphs, charts, and tables in this chapter to identify meaningful trends and relationships.
Discussion and Conclusion : The researcher presents his interpretation of the results in this chapter and states whether the research hypothesis has been verified or not. An essential aspect of this section of the paper is to draw a linkage between the results and evidence from the literature. Recommendations with regard to the implications of the findings and directions for the future may also be provided. Finally, a summary of the overall research, along with final judgments, opinions, and comments, must be included in the form of suggestions for improvement.
References : This should be completed in accordance with your University’s requirements
Bibliography
Appendices : Any additional information, diagrams, or graphs that were used to complete the dissertation but not part of the dissertation should be included in the Appendices chapter. Essentially, the purpose is to expand the information/data.

About ResearchProspect Ltd

ResearchProspect is a UK-based academic writing service that provides help with Dissertation Proposal Writing , PhD Proposal Writing , Dissertation Writing , Dissertation Editing, and Improvement .

Our team of writers is highly qualified. They are experts in their respective fields. They have been working in the industry for a long time and thus are aware of the issues and trends of the industry they are working in.

Need more Topics.?

Review our complete list of Best Dissertation Topics

Free Dissertation Topic

Phone Number

Academic Level Select Academic Level Undergraduate Graduate PHD

Academic Subject

Area of Research

Frequently Asked Questions

How to find dissertation topics about operations management.

To find operations management dissertation topics:

Study recent industry challenges.
Investigate supply chain innovations.
Examine technology’s impact.
Explore lean management strategies.
Analyse sustainability in operations.
Select a topic aligning with your expertise and research interests.

Operations Management Concentration Overview

Morvarid Rahmani, Associate Professor of Operations Management, gives an overview of the Operations Management concentration within the Scheller Ph.D. program.

Program Highlights

Our Ph.D. curriculum distinguishes us from other doctoral programs in operations management in several ways.

First, we leverage the substantial size of our faculty to offer unparalleled breadth and depth in operations management Ph.D. seminars (two to four topics are covered each year).
Second, we strongly endorse diverse research methods including modeling, empirical analysis, and behavioral experiments to address different managerial challenges in operations management. Rigorous training on a variety of operations research methods is obtained from ISyE (ranked No.1 industrial engineering program in the world).
Additionally, we leverage the expertise of other Georgia Tech faculty offering courses on a wide spectrum of empirical, behavioral, and computational methods..

Facilitating Ph.D. Student Academic Growth

Ph.D. students are immersed in research starting in the first year of the doctoral program, accelerating their growth as scholars. Students are encouraged to develop their own research “voice”, leveraging their background, academic training, and past experiences.

Our culture embodies freedom and flexibility for students to select their research topics and advisors. To ensure focus and forward momentum, faculty engage with Ph.D. students on goal setting and provide clear direction for students to attain those goals.

In addition to one-to-one mentoring, we offer teaching effectiveness seminars. Ph.D. students are provided funding to attend conferences and workshops and funding is guaranteed for five years (subject to a student remaining in good standing).

Our Vibrant Community

The operations management Ph.D. program is a close-knit group that invests in community building and professional development. Ph.D. students thrive in the vibrant social and cultural communities at Georgia Tech and the Atlanta metropolitan area. Additionally, Georgia Tech has a large and diverse graduate student community. Atlanta has a very favorable cost of living compared to many other large metropolitan areas.

Diversity, Equity and Inclusion Tech Square and Atlanta

Ph.D. Placements

We welcome Ph.D. students from diverse backgrounds and career stages. Recent Ph.D. students have benefited from their work experience in consulting, manufacturing, engineering, product development, and the military. Additionally, Ph.D. students who enter the program without prior work experience have leveraged the industry experience and connections provided by our faculty. Some of our Ph.D. graduates, their current academic positions, and interests include the following.

Vishal Agrawal, Ph.D. '10, Associate Professor at Georgetown University, where his areas of expertise include managerial challenges at the interface of business and the environment, as well as the effect of consumer behavior on operations and new product development
Jennifer Bailey, Ph.D. '13, Assistant Professor at Babson College, where her areas of expertise include how innovative and entrepreneurial firms manage risk and uncertainty
Marcus Bellamy , Ph.D. '15, Assistant Professor at Boston University, where his areas of expertise include empirical examination of supply chain management and innovation as well as supply network risk, network analytics, and visualization
Ioannis Bellos , Ph.D. '12, Assistant Professor at George Mason University, where his areas of expertise are sustainable operations, service design, and innovation in business models
Janice Carrillo , Ph.D. '97, PricewaterhouseCoopers Professor at the Warrington College of Business, University of Florida, where her areas of expertise include new product and process development, innovation, sustainability, and technology management.
Raul Chao, Ph.D. '07, Associate Professor at the Darden School, University of Virginia, where his areas of expertise include organization design and incentives in innovation, NPD and R&D.
Sanjeev Erat , Ph.D. '06, Associate Professor at University of California - San Diego, where his areas of expertise are co-development and licensing in new product development and technology management.
Wayne Fu , Ph.D. '17, Assistant Professor at the University of Michigan - Dearborn, where his areas of expertise include supply chain management and sustainable operations.
Jeremy Hutchison-Krupat , Ph.D. '11, Assistant Professor at the Darden School, University of Virginia, where his areas of expertise include the effective implementation of a firm's innovation strategy .
Ximin (Natalie) Huang , Ph.D. '16, Assistant Professor at the University of Minnesota, where her areas of expertise include supply chain management and sustainable operations.
Brian Jacobs , Ph.D. '09, Associate Professor at Michigan State University, where his areas of expertise include sustainability and environmental operations, financial/market value of operations strategies, and process improvement strategies.
JJ Kovach , Ph.D. '14, Assistant Professor at Texas Christian University, where his areas of expertise include innovation, environmental operations, and operations strategy.
Jaeseok Lee , Ph.D. under completion, Assistant Professor at University of Auckland (New Zealand), where his area of expertise is knowledge outsourcing and knowledge competition.
Nektarios Oraiopoulos , Ph.D. '09, University Lecturer (Assistant Professor) at Judge Business School, Cambridge University, where his areas of expertise include group decision-making and collaboration in technology, and R&D management.
Gulru Ozkan-Seely , Ph.D. '08, Assistant Professor at University of Washington-Bothell, where her area of expertise includes knowledge management, competition, and new product development.
Carrie Queenan , Ph.D. '07, Assistant Professor at University of South Carolina, where her area of expertise is health care operations and the use of technical systems to enhance efficiency and effectiveness.
Narendra Singh , Ph.D. '15, Adjunct Assistant Professor at the Indian School of Business, where his areas of expertise include new product development and sustainability.
Wenli Xiao , Ph.D. '12, Assistant Professor at University of San Diego, where her areas of expertise include knowledge management, new product development, sustainability, and manufacturing outsourcing.

Research Areas of Excellence

Empirical Analysis of Supply Chain Performance

Specific topics include contracts and global outsourcing; managing risk and failure; alliances; revenue management. Faculty who most contribute to this area include Soumen Ghosh, Manpreet Hora, and Vinod Singhal.

Innovation and Technology Management

Specific topics include new product development; collaboration and teamwork; entrepreneurship. Faculty who most contribute to this area include Cheryl Gaimon, Karthik Ramachandran, and Morvarid Rahmani.

Sustainable Operations

Specific topics include closed-loop supply chain management, corporate sustainability, and environmental legislation. Faculty who most contribute to this area of research include Ravi Subramanian, Basak Kalkanci, and Beril Toktay.

Faculty Editorial Positions

Current department editorships.

Beril Toktay (Environment, Energy and Sustainability Department)
Cheryl Gaimon (Management of Technology Department)
Vinod Singhal (Supply Chain Management Department)
Ravi Subramanian (Sustainable Operations Department)

Current Associate (Senior) Editorships

Manpreet Hora

Cheryl Gaimon (Entrepreneurship and Innovation Department)
Vinod Singhal (Operations Management Department)

Vinod Singhal

Beril Toktay

Soumen Ghosh (Empirical Research Department)
Manpreet Hora (Management of Technology Department; Supply Chain Management Department)
Karthik Ramachandran (Management of Technology Department)

Honors, Awards, and Professional Society Positions

Scheller College of Business’ Ashford Watson Stalnaker Memorial Award for Ph.D. Student Excellence
Best Paper Award, Product Development and Management Association Annual Conference
Best Dissertation Award Finalist: “Synchronizing Exploration and Exploitation: Knowledge Creation Challenges in Innovation,” Technology, Innovation Management and Entrepreneurship Section, Institute of Operations Research and Management Science
Best Student Paper Award, Academy of Management Conference, Orlando, Florida
Best Student Paper Award at International Decision Sciences Institute Annual Conference, Bali, Indonesia
Young Researcher Prize, Runner Up (Second Place) for the "The Potential of Servicizing as a Green Business Model,'' Energy, Natural Resources and the Environment Section, Institute of Operations Research and Management Science

Janice Carrillo (Ph.D.)

Intel Ph.D. Student Fellowship
Best Student Paper Award, Portland International Conference on Management and Engineering Technology
Brady Family Award for Faculty Research Excellence
University Faculty Research Award for Outstanding Doctoral Thesis Advisor, Georgia Tech
Distinguished Fellow, Production and Operations Management Society
President, Production and Operations Management Society
Distinguished Fellow, Decision Sciences Institute
Brady Family Award for Faculty Teaching Effectiveness
Class of 1940 W. Roane Beard Outstanding Teaching Award
Undergraduate Elective Professor of the Year Award and Class of 1934 Course Survey Teaching Effectiveness Award
Division Chair Elect, Academy of Management Operations and Supply Chain Management Division
Ashford Watson Stalkner Memorial Prize, Georgia Tech
Runner-up, Sustainable Operations Student Paper Competition, Production and Operations Management Society
Georgia Power Professor of Excellence
Treasurer, Behavioral Operations Section, Institute of Operations Research and Management Science
Chan Hahn Best Paper Award, Operations Management Division, Academy of Management Conference, Orlando, Florida
Finalist Best Student Paper Competition, “Sales Force Compensation for Remanufactured Products,” Energy, Natural Resources, and the Environment Section, Institute of Operations Research and Management Science

Carrie Queenan (Ph.D.)

POMS College of Service Operations Most Influential Paper Award
Paul Kleindorfer Award in Sustainability
Brady Family Award for Faculty Teaching Excellence
James F. Frazier, Jr. Award for Teaching Excellence
Outstanding MBA Core Professor of the Year Award
Best Paper Competition Winner, Public Sector Operations Research Section, Institute of Operations Research and Management Science
Ernest Scheller Jr. Award for Service Excellence
Women of Distinction Award, Georgia Tech
Management Science Best Paper in Operations Management
Distinguished Fellow, Manufacturing and Service Operations Management, Institute of Operations Research and Management Science
President, Manufacturing and Service Operations Management Society
Treasurer, Production and Operations Management Society

Murat Unal (Ph.D.)

One of the two finalists, POMS College of Product Innovation and Technology Management 2017 Student Paper Competition, "Help or hindrance? The role of familiarity in collaborative product development"

Faculty Academic, Industry, and Media Recognition

Cheryl Gaimon

Keynote Plenary, 4th International Conference of Operations and Supply Chain Management, Hong Kong and Guangzhou, China
“ Brand Recovering Consumer Confidence "
“ Shortening the Time Line for a Recall ”
“ Customer Service Gets the B-School Treatment ”

Basak Kalkanci

" The Greening of the Supply Chain "
"Supply Chain News: CSCMP 2012 Full Review and Comment " Dan Gilmore (10-5-12)
Keynote Plenary, 30th National Congress on Operational Research and Industrial Engineering, Sabanci University, Turkey
Keynote Plenary, Electronic News, Seoul, Korea
Keynote Plenary, 3rd International Conference in Operations and Supply Chain Management, Wuhan, China
Keynote Plenary, Symposium on Innovations and Sustainability, The Hong Kong University of Science and Technology, Hong Kong
Based on the Supply Chain Management Journal List ranking of journals that are primarily analytically-focused, Georgia Institute of Technology is ranked No. 6 worldwide.
Based on the U.S. News & World Report MBA rankings , the Scheller College of Business has been ranked No. 6 in production/operations.

Operations Management Newsletters

Issue May 2023
Issue May 2022
Issue May 2021
Issuue May 2020
Issue April 2019
Issue March 2018
Issue April 2017
Issue April 2016

How Do I Finance the Program?

If admitted to the program, your tuition will be waived and you will receive a monthly stipend.

Tuition and Financing

Application Process

The application deadline is jan. 6 for admission the following fall semester (starting mid-august)., operations management news.

This website uses cookies. For more information review our Cookie Policy

Harvard Business School →
Doctoral Programs →
PhD Programs
Accounting & Management
Business Economics
Health Policy (Management)
Organizational Behavior

Technology & Operations Management

Program Requirements

Technology & Operations Management

Curriculum & coursework.

Our programs are full-time degree programs which officially begin in August. Students are expected to complete their program in five years. Students typically spend their first two years on course work, at the end of which they take a field exam, and then another three years on dissertation research and writing.

The program requires a minimum of 13 semester long doctoral courses. Students in the Technology & Operations Management program complete courses in the areas of business management theory, economic theory, quantitative research methods, academic field seminars, and two MBA elective curriculum courses. In addition to HBS courses, students may take courses at other Harvard Schools and MIT.

Research & Dissertation

Students in TOM often begin research in the summer preceding their first year by working with a TOM faculty member. Over the first two years in the program, students are encouraged to explore their research interests as they complete relevant coursework. During their third year, students begin working on their dissertation research, typically developing three publishable papers by the end of the program.

Examples of doctoral thesis topics include: Examining how employee non-compete agreements affect entrepreneurship and job mobility; Improving retailers' sales forecasting using cost-of-sales, inventory levels, and gross margins; How familiarity among team members fosters organizational capabilities among teams; The implications of operations management for investors; and How firms influence service quality, and how service quality affects performance.

Omar Olivarez

“ My professors are incredibly generous with their time, and the other members of my cohort are consistently engaged and curious. ”

Current HBS Faculty

Iavor I. Bojinov
Ryan W. Buell
Prithwiraj Choudhury
Thomas R. Eisenmann
Chiara Farronato
Kris Johnson Ferreira
Frances X. Frei
Carolyn J. Fu
Shane M. Greenstein
Janice H. Hammond
Robert S. Huckman
Marco Iansiti
Rebecca A. Karp
Karim R. Lakhani
Himabindu Lakkaraju
Jacqueline Ng Lane
Josh Lerner
Michael Lingzhi Li
Alan D. MacCormack
Rory M. McDonald
Edward McFowland III
Antonio Moreno
Kyle R. Myers
Frank Nagle
Elisabeth C. Paulson
Gary P. Pisano
Ananth Raman
Maria P. Roche
William A. Sahlman
Willy C. Shih
Stefan H. Thomke
Michael W. Toffel
Sara McKinley Torti
Peter Tufano

Current Technology & Operations Management Students

Justine Boudou
Bonnie Cao
Matthew DosSantos DiSorbo
Natalie Epstein
Jeffrey Fossett
Paul Hamilton
'Leke Jegede
Omar Olivarez
Paige Tsai
Miaomiao Zhang

Current HBS Faculty & Students by Interest

Recent placement, maya balakrishnan, 2024, ryan allen, 2023, raha imanirad, 2020, caleb kwon, 2024, tommy pan fang, 2022, michelle shell, 2020, daniel yue, 2024, grace gu, 2020, ohchan kwon, 2019.

This website uses cookies to ensure the best user experience. Privacy & Cookies Notice Accept Cookies

Manage My Cookies

Manage Cookie Preferences

NECESSARY COOKIES These cookies are essential to enable the services to provide the requested feature, such as remembering you have logged in.	ALWAYS ACTIVE
	Accept \| Reject
PERFORMANCE AND ANALYTIC COOKIES These cookies are used to collect information on how users interact with Chicago Booth websites allowing us to improve the user experience and optimize our site where needed based on these interactions. All information these cookies collect is aggregated and therefore anonymous.
FUNCTIONAL COOKIES These cookies enable the website to provide enhanced functionality and personalization. They may be set by third-party providers whose services we have added to our pages or by us.
TARGETING OR ADVERTISING COOKIES These cookies collect information about your browsing habits to make advertising relevant to you and your interests. The cookies will remember the website you have visited, and this information is shared with other parties such as advertising technology service providers and advertisers.
SOCIAL MEDIA COOKIES These cookies are used when you share information using a social media sharing button or “like” button on our websites, or you link your account or engage with our content on or through a social media site. The social network will record that you have done this. This information may be linked to targeting/advertising activities.

Confirm My Selections

MBA Programs
Specialized Masters Programs
Other Offerings
Request Information
Start Your Application
Dissertation Areas and Joint PhD Programs
PhD Career Outcomes
PhD Proposals and Defenses
PhD Job Market Candidates
PhD Research Community
100 Years of Pioneering Research
Rising Scholars Conference
Yiran Fan Memorial Conference
Frequently Asked Questions
PhD in Accounting
PhD in Behavioral Science
PhD in Econometrics and Statistics
PhD in Finance

PhD in Management Science and Operations Management

PhD in Marketing
PhD in Economics
Joint Program in Financial Economics
Joint Program in Psychology and Business
Joint PhD/JD Program

As a doctoral student in management science and operations management at Chicago Booth, you will leverage mathematics and computer methods to generate research that helps managers develop better systems and make better decisions.

The Management Science and Operations Management PhD Program applies the underlying methodologies of management science to deal with problems of developing, producing, and delivering goods and services.

In collaboration with faculty who are recognized leaders in their fields, you’ll use rigorous research methods and theory to help guide organizations to better outcomes.

Our Distinguished Management Science and Operations Management Faculty

Chicago Booth faculty in management science and operations management conduct pioneering work with lasting impact. As a doctoral student here, you’ll gain from their knowledge and experience through advising, mentorship, and research collaboration.

Dan Adelman

Charles I. Clough, Jr. Professor of Operations Management

Sigmund E. Edelstone Distinguished Service Professor of Operations Management

John R. Birge

Hobart W. Williams Distinguished Service Professor of Operations Management

Rene Caldentey

Eli B. and Harriet B. Williams Professor of Operations Management

Ozan Candogan

Professor of Operations Management

Levi DeValve

Assistant Professor of Operations Management

Donald D. Eisenstein

Rad Niazadeh

Assistant Professor of Operations Management and Asness Junior Faculty Fellow

Rothman Family Professor of Operations Management and Charles M. Harper Faculty Fellow

Associate Professor of Operations Management

Alumni Success

Our alumni have gone on to successful careers in academia and industry.

S. Alex Yang, MBA ’10, PhD ’10

Associate Professor of Management Science and Operations London Business School S. Alex Yang’s main research focus is on how operational and financial decisions are coordinated within value chains. His other research interests include fintech, value chain management, and platform economy. His PhD is in management science and operations management.

Scholarly Publications

Chicago Booth is home to some of the world’s most prestigious business and economic journals. Today, the school is responsible for the management of three high-impact journals , while four others were founded at Booth.

Spotlight on Research

Faculty and student research in management science and operations management is regularly highlighted in Chicago Booth Review .

Amy R. Ward Says Customers Are Getting Impatient

In this digital age, customers expect what they want when they want it. Chicago Booth’s Amy R. Ward explores ways business can provide that.

Dan Adelman Says Health Care Has a Data Opportunity

The Charles I. Clough Jr. Professor of Operations Management explains why health care is behind in data analytics, and why it’s poised to improve.

How Bookies Can Outwit Smart Bettors

Chicago Booth’s John R. Birge and Booth PhD candidate Yifan Feng identified a set of policies that enables bookies to strike a balance between learning from market participants and bluff-proofing their business.

A Network of Support

Chicago Booth is home to several research centers that offer research funding to PhD students. They also bring together a network of like-minded scholars who guide and support our students in their research.

Rustandy Center for Social Sector Innovation Chicago Booth’s destination for people committed to tackling social and environmental problems, the Rustandy Center supports the work of PhD students and others who are focused on transforming the social sector.

The PhD Experience at Booth

For Vishal Ahuja, PhD ’13, a key strength of the Chicago Booth community is its interdisciplinary nature.

Video Transcript

Vishal Ahuja '13: 00:03 I find one of the strengths of University of Chicago is the interdisciplinary nature of the work, and then as long as you've got ideas people like to work together. I started getting interested in health care after I took a course in public policy. My research deals with clinical trials. What we are trying to do is to improve the way trials are conducted. As patients come in and are allocated one to the treatment arm and one to the placebos. Now, let's say after a year you find that one treatment in particular is doing extremely well, which means great patient outcomes. On the other, it's just bad.

Vishal Ahuja '13: 00:40 Wouldn't you want to allocate the patients on the bad arm to the better arm? The problem is that if you find out after a year that one arm is better than the other, or one treatment is better than the placebo, or the generic, you can't stop, because otherwise that you're violating the protocol. There has to be a scientific protocol that says, if this, this, this, and this happens, then do this. If eight out of 10 patients see success, and four out of 10 on B don't see success, then allocate one patient, move one patient from B to A. There has to be a scientific, what I call a policy, that the FDA is aware of, and is building the protocol.

Vishal Ahuja '13: 01:15 The fundamental idea is being adaptive about how you allocate patients, but do so in a scientific way, and when there are multiple patients present. My dissertation committee was very much interdisciplinary in nature, one from economics, three from operations and one for Pittsburgh School of Medicine. And I think I benefited a lot from having that interdisciplinary committee. I find that medical community is much more amenable to these kinds of methodologies and the ways of addressing the problem. What I find is that we're missing that language barrier where we think we're doing this great work and they think these guys are just doing some work that's not applicable. So fighting that communication barrier, I think, is the key. And you get to appreciate how some of the work that Booth students do, including myself, it could potentially impact patient lives.

Current Management Science and Operations Management Students

Chicago Booth is a top destination for students interested in management science and operations management. They come from all over the world to work with faculty whose work has had an impact on the way industry professionals, government leaders, and scholars conduct business.

Current Students

Mohammad Reza Aminian

Jayoung Byun

Tongqing (Angelina) Chen

Farbod Ekbatani Feiyu Han

Ebru Kasikaralar Chun Li

Emin Ozyoruk Yucel (Naz) Ozyoruk

Fabricio Previgliano

Tingrui Shi

Dilara Sonmez

Duygu Soylemez

Maximiliano Stock

Gulin Tuzcuoglu

Jose Velarde Morales

Yaqi Xie Angela (Jingyuan) Yang

Zhiqiang Zhang

Program Expectations and Requirements

The Stevens Doctoral Program at Chicago Booth is a full-time program. Students generally complete the majority of coursework and examination requirements within the first two years of studies and begin work on their dissertation during the third year. For details, see General Examination Requirements by Area in the Stevens Program Guidebook below.

Download the 2023-2024 Guidebook!

Doctoral Programs

The Yale SOM Operations doctoral program is designed to prepare individuals for faculty positions in operations research or operations management at research-oriented business, engineering and policy schools.

The program also prepares students for research-oriented operations careers in public, private, or not-for-profit organizations. Yale’s Operations doctoral program is unique in its focus on identifying and modeling operational processes wherever they are found with the goal of improving operations and making better decisions. Program participants apply the methods of operations research and management to model important problems, some easily recognized as operational in nature (e.g. supply chains and service systems), but others less so (e.g. improving public health, sustainability, and homeland security). Framing such problems requires sophistication in characterizing/recognizing operational settings wherever they may be, while modeling and solving these problems requires the mathematical methods of operations research and management. The Yale Operations doctoral program develops expertise in both.

As customary in business schools, a Ph.D. student in our program will receive a 5-year fellowship (subject to satisfactory performance) and has the freedom to work on a wide range of topics with faculty in Operations and other parts of the campus. The program is small, ensuring that each student receives ample faculty attention, and is highly flexible, allowing the program to be tailored to each student’s interests. Even though young, this Operations Ph.D. program has already trained successful students who have received faculty position offers from top schools and succeeded at various student INFORMS competitions. For more details, see Course of Study and Recent Graduates and Students .

See also the Yale Operations Seminar Series .

Primary faculty

Edward H. Kaplan ∙ Sang Kim ∙ Zhen Lian ∙ Vahideh Manshadi ∙ Lesley Meng ∙ Faidra Monachou ∙ Edieal Pinker ∙ Nils Rudi ∙ Tauhid Zaman

Affiliated faculty

Peter Aronow ∙ Forrest Crawford ∙ A. David Paltiel ∙ Sekhar Tatikonda

Tepper School of Business

Ph.D. Program in Operations Research

The ph.d. program in operations research stresses optimization techniques leading to decision-making algorithms and the development of new models for management science applications..

The Tepper School's doctoral program in operations research (OR) is designed to encourage students to make contributions toward basic scientific knowledge in the area. This knowledge can take several forms including:

The derivations of fundamental results of an analytical or mathematical nature that lead to the development of algorithms for aiding decision-making
The development of new analytical models appropriate for management science applications in areas such as Marketing, Operations, and Finance
Controlled experimentation that leads to empirical results that make efficiency comparisons possible among algorithms

A major goal of the program is to train students to recognize operations research problems in real-world situations, and to give them the opportunity to learn about the deployment of operations research models in one or more of these substantive areas. Towards this goal, the program provides the opportunity to develop knowledge of functional areas of business to which optimization can be applied such as Marketing, Operations and Finance. There is a rich tradition of graduates from the program going on to successful careers in these areas both in academia (in business schools, engineering schools in IE and OR departments as well as in Math and Computer Science departments) and industry.

Course of Study

The basic operations research courses offered include: linear, nonlinear, integer and dynamic programming; graph theory and network optimization; convex optimization and convex analysis; and stochastic models. Each course is taught by a faculty member who is actively pursuing research in the subject area. Since classes are usually small, students frequently meet informally with their instructors. The third semester competence examination is based on the areas covered in these courses.

The research papers assigned for the first and second summers of graduate study are designed to give students an early introduction to research work. The paper may be done individually or jointly with other students or faculty members. Easy interaction in the Tepper School with researchers in the other areas of business and economics and in such related areas as computer science, machine learning, and statistics encourages the application of operations research in imaginative new directions.

In many cases, work on these papers leads to the work on the Ph.D. dissertation, which can begin as soon as the student has passed the third-semester qualifying examination.

Almost invariably, by the end of their second year, if not earlier, students have already worked on professional problems with some of the faculty. For this reason, student working papers written in collaboration with a faculty member are common.

Our History

Carnegie Mellon has pioneered several important developments in both theoretical and applied operations research. Geometric programming, chance constrained programming, and the applications of linear programming to capital budgeting and cost management were among the accomplishments of the '50s and early '60s. Since 1968, when the doctoral program in operations research was started, the Tepper School has initiated several new developments in integer and nonconvex programming, enumerative methods, cutting plane theory, disjunctive programming, constraint programming, network design, algorithm design, machine learning, data mining, and scheduling models.

Recently, the group has pioneered advances in Approximation Algorithms for Network Design, as well as theory and applications of Modern Convex Optimization. Examples on the Selected Research Topics page illustrate the basic research currently in progress, and examples of new operations research applications can be found elsewhere on the Doctoral Program website.

Research Topics

Mixed-Integer Programming
Convex Optimization
Benders Decomposition
Branch and Price
Approximation and Online Algorithms
Network Design
Analytical Models in Marketing and Operations
Connections with Artificial Intelligence
Interplay between Estimation and Optimization
Bayesian Optimization
Massively Distributed and Parallel Algorithm Design
Machine Learning
Cultural Factors
Ethics of Artificial Intelligence

Many of our students are very active in the Carnegie Mellon INFORMS Student Chapter . To learn about the joint PhD program in Algorithms, Combinatorics and Optimization, please visit the webpage http://aco.math.cmu.edu/

P lease visit our Ph.D. Student Profiles page t o view the profiles of our current doctoral candidates.

Program Details

Requirements

New Research Interest – Ethics of Artificial Intelligence

Ethics and AI is an emerging research interest among faculty members in Operations Research and Ethics. Research topics include algorithmic bias, models of equity and efficiency, machine ethics, and OR/AI for the common good. Given the importance and timeliness of this topic, Tepper faculty members have submitted a grant proposal to the National Science Foundation to support research in this domain.

Building The Intelligent Future: Strategic Plan 2024-2030
Course List
Academic Calendar
Privacy Policy
Statement of Assurance
Tepper Information Center
Tepper Gear Store

Operations Management Dissertation Topics

Choosing a great topic for your graduate, master or doctoral dissertation can often feel more challenging than actually undertaking the study. Knowing that the time spent on this work, which may be months, or in some cases years, on a PhD or Master’s Degree is so critical to success can making the topic choice seem daunting. Our advice is to always choose a topic that you love, or an area you find interesting because this makes the whole process much less arduous. It’s also often a good idea to look into the areas where your advisor has knowledge and experience so that they can guide and focus your work. Most importantly the topic should be focused and manageable. If these factors are taken into account when choosing a topic in the field of Operations Manager, the overall task will be much easier, interesting and can lead to new routes for you in your professional or academic development. To help in preparing for this great challenge, this article provides suggestions for Operations Management topics in a range of key areas such as the supply chain, scheduling, inventory management and design of services, all of which are current areas in the field.

Supply chain design and control Dissertation Topics

Inventory Management Dissertation Topics

Production scheduling dissertation topics, product development dissertation topics, design of services dissertation topics, dynamic pricing dissertation topics, industrial risk management dissertation topics, logistics dissertation topics, manufacturing and supply-chain dissertation topics.

Total quality management Dissertation Topics

Supply Chain Design and Control Dissertation Topics

The development and maintenance of effective Supply chains is one of the most crucial organisational elements of any manufacturing organisation and their achievement of competitive advantage and the building of good customer relationships. The planning, design and effective control of the supply chain and its various elements and stakeholders is of utmost importance to the success of the organisations. Organisations need to evaluate continuously improve and evolve their supply chains, and there is an increasing use of technology and other digital solutions to support control, measure and evaluation of this important facet of the organisations systems. With the development of automation, data analytics and a focus on corporate social responsibility effective and innovative supply chain design and control is moving forward into a new era. For up to date, timely operations management dissertation topics within this area please see the suggestions below.

What does “Legality” mean in reference to supply chain design?
The virtual supply chain and its role in streamlining short-term business partnerships
Supply chain management: Is autonomous transportation a reality and how effective can it be?
Blockchain technology and its effect on the UK supply chain: Issues and challenges
Supply chain management and impact of information technology: An analysis of manufacturing firms in UK.
E-commerce for supply chain management.
Supply chain management: Case study on Amazon.com and innovative solutions for packing, picking and delivering
Big Data and its role in revolutionising the supply chain for online retailers
How the supply chain differs on a B2C site compared to a B2B environment.
Supply chain control management: A case study on HP, UK.
Track and trace technology and its contribution to competitive advantage at Johnson and Johnson
I Robot : the use of Robotic picking and automation by Alibaba and the effect on supply chain efficiencies
How important will crowd-sourced transportation like Uber and Deliveroo be for reducing costs and increasing efficiency during “last mile delivery”

Inventory management is the supervision of non-capitalized assets (inventory) and stock items. A component of supply chain management, inventory management supervises the flow of goods from manufacturers to warehouses and from these facilities to point of sale.

As an integral component of supply chain management, inventory management refers to the systems of supervision for inventory and stock items, managing and monitoring the flow of goods from manufacturers to distributors and retailers. The processes can be complex and an inventory management system requires clear planning and concise and closely measured processes and technologies to ensure accuracy and efficiency. Suggestions for operations management dissertations topics on inventory management are:

Inventory management is still the backbone of supply chain management: True or False?
The influence of big data analytics in effective inventory management.
The importance of RFID in inventory management at Toyota UK.
How Smart is Smart Inventory in the grocery retail sector : Analysis of Smart inventory management at Tesco.
The internet of things and inventory management : how IoT is connecting customers to suppliers in a more efficient way
Inventory management or logistics solutions: how just in time approaches and inventory technology are changing traditional inventory management processes
Inventory management for e-commerce.
Inventory management with multiple procurement modes: A case study in UK.
Analytical study of inventory management in a car manufacturing organisation.
Warehouse drones and how they could change the face of inventory management : Examination of Sony and Amazon’s plans for connecting robotic automation with inventory management software
Are wearable scanning devices more time efficient than hand-held units – examination of wearable scanners in a FMCG warehouse setting
AI and inventory management : The role of artificial intelligence in making accurate stock decisions at Amazon.com

Production planning refers to the organisational function of establishing an overall level of output, called the production plan. The process also includes any other activities needed to satisfy current planned levels of sales, but should also incorporate the the firm’s general objectives in terms of profit, productivity, lead times, and achievement of customer satisfaction, defined with the strategic plan for the organisation. From a managerial perspective production planning requires the development of an integrated strategy where the operation element is the foundation and a crucial element of the production plan. Dissertations in production scheduling could cover any of the following topics.

Production scheduling techniques in a manufacturing environment.
Production scheduling techniques in a car manufacturing industry.
Toyota production scheduling techniques: A case analysis in UK.
The significance of theory of constraints in production scheduling.
Production scheduling in steel industry: A case study on Mittal Steel.
Fuzzy theory applied to production planning as a means of improving the accuracy of planning decision making processes
How integrated production planning and cross-employee communication increases productivity and employee motivation
Using AI to improve quality control : A case study of Amazon.com
Production scheduling optimisation within the Pharmaceutical industry through technology
Real time communication between multi-site manufacturers and the impact on productivity scheduling

Product development (NPD) is the term used to describe the complete process of bringing a new product or service to market. There are two parallel paths involved in the product development process: one involves the idea generation, product design, and detail engineering whilst the second path involves market research and marketing analysis for the proposed new product. NPD is the first operational stage in generating and bringing to market new products when looked at from the perspective of product life cycle management. If your area of interest is NPD, the following dissertation topics may be useful:

Fitting in: The world of the techno eco-system and what it means for NPD
Product development and how the process has been hijacked by consumers wanting to collaborate and innovate with food companies
Product mix and New Product Development strategies to meet consumer’s ethical and CSR demands
How do they do it? Critical analysis of Apple’s NPD strategy and process
Product development strategy In the automotive industry: Toyota’s lean thinking and its effectiveness in launching new products
Is technology like 3D printing changing the NPD process and what does this mean for small businesses?
Product life cycles in the digital age – is a new approach needed?
Product development strategy: case study Amazon.com.
Impact of information technology on product development strategy: case study on organisations based in UK.
Crowd-funding, new product development and people powered innovation: a new theory of NPD and its place in the product life cycle

Service Design is the activity of planning and organising people, infrastructure, communication and material components of a service, in order to improve its quality, the interaction between service provider and customers and the customer’s overall experience. The increasing relevance of the service sector, both in terms of people employed and economic importance, requires services to be accurately designed. An operations dissertation on the design of services could include:

Customer service in e-business : Case study of Amazon.com
Spirituality, investment and motivation: Why Starbucks services design is a major contributor to its success.
Service design in fund management company.
Design and implementation of e-commerce web services.
Four major characteristics of services and the marketing strategies available for the service organisation.
Impact of big data analytics in creating effective service design.
Solutions and experience are the new service mantras, or are they just old wine in new bottles?
Future technology impact on service design.
The principles of service design thinking and how to apply them in a small restaurant business
Applying service design in the NHS: Sequencing a customer journey to improve experience
Co-creation of the service journey in manufacturing, from order through processing to delivery: examination of the integration of service design at BMW
Tesla motors and co-creation of a full service journey for customers through partnerships and alliances

Variable, dynamic pricing allows the retailer to change or fluctuate prices due to different variables, conditions, and situations. Being able to manage dynamic pricing strategies is a key ability for companies wishing to succeed in the world of e-commerce in particular. The forces of supply and demand are leading variables that dictate pricing. An operations dissertation on dynamic pricing would make for very interesting reading.

E-business models of dynamic pricing.
Dynamic pricing: A case study of the travel industry.
Consumer responses to dynamic pricing in the airline industry
Dynamic pricing: A case study of the insurance industry.
Comparing the use of dynamic pricing in the airline and retail industries
The importance of dynamic pricing in ‘auctioning’.
Analysis of the current issues, future trends and opportunities associated with dynamic pricing.
The significance of dynamic pricing in online retailing
Dynamic pricing: A case study on easyJet.
Dynamic pricing in a B2B environment in the UK.
Dynamic pricing in the UK service industry
Competition-based dynamic pricing in e-commerce
Price guarantees and dynamic pricing strategies

The majority of industrial and engineering operations are in the risk world. Almost everything done involves probabilities and consequences. Within these industrial settings, there are many factors contributing to uncertainty, for example, external influences (oil prices, political changes, etc.), equipment characteristics (reliability, availability), materials, contractors’ performance, suppliers, organization complexity, and human error. This is a very important issue within the business world and makes for an excellent operations dissertation.

Risk management in the UK construction industry: A case study
Risk management in the pharma industry: a case study analysis in the UK.
Is risk management different in the banking industry?
Risk management in the retail industry
Internal and external factors affecting industrial risk management
The impact of rapidly advancing information technology on industrial risk management: A case study if the automobile industry
Big data analytics and risk management for improving business operations
Risk management in the aviation industry
Human factors affecting industrial risk management
Industrial risk management in rural part of the UK.
The impact of risk management on production decisions
How can firms proactively manage supply chain risk?
Critical success factors in supply chain risk management in industrial firms in the UK

Logistics is the management of the flow of goods, information and other resources, including energy and people, between the point of origin and the point of consumption. The aim is usually to meet the requirements of consumers. To achieve its goals, logistics involves the integration of information, transportation, inventory, warehousing, material-handling, and packaging. Operations management dissertation topics for your logistics management dissertation could include:

Is the rise of intermodal international logistics affecting the operations of manufacturing companies?
Transport and logistics
Evaluation of the logistics operations carried out within manufacturing organisations
The logistic industry and corporate social responsibility: A closer look.
The impact of recent improvements in information technology on the logistics industry.
Principles of logistic management: an evaluation in a practical environment using Amazon as a case study
Anticipatory logistics on supply chain management.
Logistics management as a competitive advantage: A comparative analysis of Tesco and Asda
Value chain strategy of the logistic industry in the UK.
Optimising third party logistics using Big Data
Vehicle route optimisation in London
Decision-support systems to tackle the challenges of last mile logistics
Last mile logistics for the delivery of fresh fruits and vegetables in cities

Manufacturing strategy is a functional strategy, which means that manufacturing objectives should be derived from business objectives, and then manufacturing policies developed to address these objectives. Supply chain management (SCM) is the combination of art and science that goes into improving the way a company finds the raw components it needs to make a product or service and deliver it to customers. Possible topics for your operations dissertation are:

Is manufacturing strategy the key to business success?
Manufacturing strategies of automobile OEMs in China
Comparing the manufacturing strategies of automobile OEMs in China and the UK
A case study of Boeing’s manufacturing strategy
How Dell changed the computer world with its supply chain strategy: A retrospective case study
Combining environmental management with supply chain management: A case study on BMW
Examining continuous production as a manufacturing strategy in the pharmaceutical industry
E-supply chain management: An examination of the use of technology to build superior supply chains
ERP: A boon to supply chain strategy?
The impact of information technology on manufacturing strategy
Using information technology to support an integrated supply chain strategy
The potential of the Cloud for enhancing manufacturing strategy
Using an agile supply chain strategy to support supply chain performance
The impact of manufacturing flexibility on financial performance in the fashion industry

Total Quality Management Dissertation Topics

Total Quality Management (TQM) is a business management strategy aimed at embedding awareness of quality in all organisational processes. TQM has been widely used in manufacturing, education, call centres, government and service industries, as well as NASA space and science programs. If you are looking at the area of Total Quality Management for your operations dissertation, the following topics may be useful:

Is Total Quality Management enough for competitive advantage?
Can TQM be a factor of sustainable competitive advantage for SME organisations?
Evolution of quality: First fifty years of production and operations management in the UK
Implementation of Total Quality Management: an empirical study of UK manufacturing firms.
Total Quality Management and customer satisfaction in homebuilding.
The application of Total Quality Management in construction field operations.
The impact of TQM on innovation
TQM: Theory and the practical implementation in the UK.
Creating synergies between TQM and information technology.
To what extent can TQM be applied in the public sector?
Using Quality Management to develop excellence in UK’s third sector
Barriers to the implementation of the European Foundation for Quality Management (EFQM) model in the UK

Criminal Law Assignment Help
Taxation Law Assignment Help
Business Law Assignment Help
Contract Law Assignment Help
Civil Law Assignment Help
Land Law Assignment Help
Tort Law Assignment Help
Company Law Assignment Help
Employment Law Assignment Help
Environmental Law Assignment Help
Commercial Law Assignment Help
Criminology Assignment Help
Corporate Governance Law Assignment Help
Constitutional Law Assignment Help
Operations Assignment Help
HRM Assignment Help
Marketing Management Assignment Help
4 Ps Of Marketing Assignment Help
Strategic Marketing Assignment Help
Project Management Assignment Help
Strategic Management Assignment Help
Risk Management Assignment Help
Organisational Behaviour Assignment Help
Business Development Assignment Help
Change Management Assignment Help
Consumer Behavior Assignment Help
Operations Management Assignment Help
Public Relations Assignment Help
Supply Chain Management Assignment Help
Conflict Management Assignment Help
Environmental Assignment Help
Public Policy Assignment Help
Childcare Assignment Help
Business Report Writing Help
Pricing Strategy Assignment Help
Corporate Strategy Assignment Help
Managerial Accounting Assignment Help
Capital Budgeting Assignment Help
Accounting Assignment Help
Cost Accounting Assignment Help
Financial Accounting Assignment Help
Corporate Finance Assignment Help
Behavioural Finance Assignment Help
Financial Ethics Assignment Help
Financial Management Assignment Help
Financial Reporting Assignment Help
Forensic Accounting Assignment Help
International Finance Assignment Help
Cost-Benefit Analysis Assignment Help
Financial Engineering Assignment Help
Financial Markets Assignment Help
Private Equity and Venture Capital Assignment Help
Psychology Assignment Help
Sociology Assignment Help
English Assignment Help
Political Science Assignment Help
Arts Assignment Help
Civil Engineering Assignment Help
Computer Science And Engineering Assignment Help
Economics Assignment Help
Climate Change Economics Assignment Help
Java Assignment Help
MATLAB Assignment Help
Database Assignment Help
PHP Assignment Help
UML Diagram Assignment Help
Web Designing Assignment Help
Networking Assignment Help
Chemistry Assignment Help
Biology Assignment Help
Nursing Assignment Help
Biotechnology Assignment Help
Mathematics Assignment Help
Assignment Assistance
Assignment Help Online
Cheap Assignment Help
Assignment Paper Help
Solve My Assignment
Do My Assignment
Get Assignment Help
Urgent Assignment Help
Write My Assignment
Assignment Provider
Quality Assignment Help
Make My Assignment
Online Assignment Writers
Paid Assignment Help
Top Assignment Help
Writing Assignment For University
Buy Assignment Online
All Assignment Help
Academic Assignment Help
Assignment Help Tutors
Student Assignment Help
Custom Assignment Writing Service
English Essay Help
Law Essay Help
Management Essay Help
MBA Essay Help
History Essay Help
Literature Essay Help
Online Essay Help
Plagiarism Free Essay
Write My Essay
Admission Essay Help
TOK Essay Help
Best Essay Writing Service
Essay Assignment Help
Essay Writers Online
Professional Essay Writers
Academic Writing
Homework Help
Dissertation Help
University Assignment Help
College Assignment Help
Research Paper Writing Help
Case Study Help
Coursework Help
Thesis Help
PowerPoint Presentation Service
Job Openings

Introduction

The success as well as the survival of an organization is directly dependent on its efficiency and output. Meeting the periodically set goals within the organization charter is the passport to sustain in a ruthlessly competitive environment. The management of all the business operations would administer a practice that ignite the strategy to match the highest level of efficiency. The conversion of the quality raw materials and pain and sweat of the labour in the desired number of quality-based goods and services could create an environment full of zeal and competence. When the profit of the organization is rightfully achieved, all the stakeholders could earn their rightful stake. Moreover, it promotes a sense of belongingness in the employees and bestow them with the opportunities to hone their skills time and again.

Operations management is one of the pivotal subjects in management that constantly feature dissertations and case studies in their semester curriculum. These assignments help students to realise the practicality of the subject and help them understand how things materialise on the ground apart from inculcation of the bookish concepts.

The assignment help provided by the experts could help in the completion of the given homework tasks as per the expected standards on time. Here, we are sharing the list of top 50 dissertation topics that can be chosen from absolutely for free. If you are keen to let the professionals choose the topic and get the complete assignment done on your behalf, then also assignment writing services from the best in business could get the job done.

The Levels of Operations Management Implementation

The management of the operations is primarily done at the following three levels –

Strategic Level: Work on the broader terms, where the goals of the company are defined, and the operations managers are assigned the task to develop the strategies accordingly. For example, if we try to define all the three levels with respect to an organization engaged in furniture business, then the strategic level of operations management would include the preparation of blueprint for the location and the layout of the furniture factory.
Tactical Level: The tactics are used by the employees at the managerial level to accomplish those strategies step by step. These include the tasks or the steps that are defined to successfully implement the strategies. The tactical level shall incorporate the hiring and training of the workforce to function as per the strategic needs and set the roadmap of executing the third level.
Operations Level: The final level where all the components of production are brought together and materialised. These include the purchase of wood and fabric, the availability of raw materials and cutting tools and all the other fabrication equipment. It is widely regarded and practised as the final level of operations management before the final product or service gets its final shape.

The students who frequently reach us for dissertation help are assigned with the operations management homework somehow revolving around these three levels only. When experts having real-life practical understanding of the things get involved in the assignment writing process, it reflects in the submitted work word-by-word.

Working hard, yet failing to achieve an ‘A’ in your dissertation assignment? Read the below article to cover all loopholes to make your next submission catchy to the eyeballs!!

Must read: all you need to know about how to get an ‘a’ in your next dissertation submission, what are we expecting to achieve out of the recommended list of topics.

We are surely not expecting the students to submit a miracle of an assignment homework once they go through the provided set of dissertation topics below. The quality of the work still be dependent upon the consistency with the language, syntax proficiency, delivery of citation in instructed referencing style, and conducting plethora of concrete research to back each argument. Not to mention, crisp editing chops and seamless proofreading of the final draft is also somehow not related to the selection of the topic.

But what we are expecting out of this whole effort is to ensure that our students do have a wide range of pertinent topics to pick from. Our efforts are directed to the fact that our students pick a topic that is trending in the contemporary age and does make sense in the eyes of the evaluator.

Additionally, our prima-facie motto is to help our management students to save time, energy, and resources. The most complex dilemma faced by our students is the exploration and selection of the right topic. What, and why? Most of the students fight these conundrums to reach the most suited topic selection and spend an exhaustive amount of time and research. Exploring the topic at the personal level of the student could be a relevant choice in case he or she have months at disposal before the final submission of work. It is the privilege accessible to the scholars submitting their paper or thesis for research purpose only.

Management students following a conventional curriculum are required to submit their homework assignments with a stringent deadline. That is the point where not only days, even the hours count! Here, the accessibility to strong dissertation topics, and that too for free could become a real game-changer for the students. Besides, their request for online assignment help is served on priority right from topic selection to the dispatch of purely refined final homework draft.

Struggling with essay writing in correct assignment format? Click the below link to learn the time-tested tricks of mastering all forms of essay writing formats successfully!!

Must read: essay writing tips that have earned thousands of students the passport to their dream college. read now.

Operations Management Online Assignment Help

Wish to come across top 50 best organizational behaviour topics to choose from? Visit the below article to make your next OB dissertation submission worth every word!

Must read: top 50 organizational behaviour dissertation topics trending in 2021.

Well, with that we conclude our list of the latest dissertation topics dedicated to the assignments related to operations management. The best part is that these titles can be customised to suit the assignment writing formats other than dissertations. The requirements of the management students related to case study help , essay help , research paper writing help or thesis help . If you have already chosen your desired topic but struggling to move ahead, then you can always hire the experts for paid assignment help to get the assignment done as per the instructions on your behalf.

Operations management is widely regarded as one of the most complex yet interesting subjects that a b-school aspirant could pursue. The dissertations and case studies associated with the subject do have a touch of finance, mathematics, and information systems to deliver a combined package of knowledge. It is one of the few major subjects in the field of management that do have ground-level, practical implication to begin with. The assignments related to the subject are not only pivotal in terms of quality grades to pass-out with, but also fetch the lessons that can turn out to be productive in the entire lifetime of their careers.

Visit operations management assignment help at Thoughtful Minds to come across the services of the management academicians turned writers serving students for the last 15 years. Get in touch with the service representative and avail the finest online homework help at the most reasonable prices ever!

Undergraduate
Master of Accounting
Full Time MBA
Evening Executive MBA
Weekend Executive MBA
Charlotte Executive MBA

PhD in Operations Management

Operations, supply chain and data analytics.

UNC Kenan-Flagler’s Operations Area studies a complex range of business activities associated with the coordination of resources and effective delivery of value-added products and services to global customers. Our faculty is well known for conducting research in a variety of applied clusters, including supply chain management, inventory management, retail operations, health care, energy, information technology, e-business/e-commerce, sustainable enterprise, learning and knowledge-based innovation, outsourcing/offshoring, revenue management, global health, product safety in the supply chain and technology management.

Students in our Operations and Data Management program develop into top research scholars well-prepared to investigate critical problems in operations management.

You will work closely with faculty members on cutting-edge projects. The scope of their research interests and expertise is quite broad, addressing problems in supply chains and operations management in global manufacturing and service firms. The context for this research is broad and includes various industries — banking, information services, retail, healthcare, airline and automotive — and humanitarian, nonprofit organizations.

The Operations curriculum provides a background in the literature and techniques used in research. It is quantitative in nature and as such, incoming PhD students often have a background in economics, engineering, mathematics, or statistics.

Although some students have completed graduate work prior to entry into the PhD program, it is not required.

Typical Course Schedule by Year

During the first two years of the PhD program, you focus on courses to develop the tools necessary to produce high-quality research. A faculty member, who acts as your advisor, is assigned upon program entry.

Introduction to Operations Management
Economic Models in Operations Management
Empirical Operations
Linear Programming
Stochastic Processes I
Stochastic Processes II
Introduction to Econometric Theory
Econometrics
Advanced Microeconomics I
Advanced Microeconomics II
A qualifier written examination covers all of the courses taken in the first year of the program
An oral presentation of the summer paper proposal
Research Models in Operations Management
Special Topics in Operations Management
Applied Research Methods
Advanced Econometrics
Advanced Machine Learning
Microeconometrics
Other elective courses based on a student’s research interest
An open-ended research based PhD comprehensive written exam
An original Research Paper written under the supervision of a faculty member
Full-time research
Students may take additional elective courses based on their research interest
With consent of your advisor, you may attend/participate or present at external national or international conferences after your second year
Dissertation and Oral Defense is expected prior to the end of your fifth year
Preparing for the job market
PhD students may take any elective course offered by UNC Kenan-Flagler or other UNC or Duke departments with guidance from your advisor.
Your are invited to participate in all operations-related research seminars and guest speakers offered at UNC Kenan-Flagler.

View our current Operations PhD students .

Related Research

Combining analytical horsepower with willpower to improve th....

PhD student RJ Niewoehner talks about his research, including how its findings might provide valuable knowledge related to COVID-19.

Black Friday: Behind the scenes

On Black Friday, there’s a lot more going on than great sales. Here’s what happens behind the scenes as retailers prepare for one of the busiest shopping d...

How do you motivate busy physicians to give more flu shots?

Money isnt’ the answer, write RJ Niewoehner and Brad Staats.

This website uses cookies and similar technologies to understand visitor experiences. By using this website, you consent to UNC-Chapel Hill's cookie usage in accordance with their Privacy Notice .

Main Menu -->

engage-menu

Main-jindal-menu, phd in management science, operations management concentration.

business school phd students in the international management studies program

Table of Contents

Program Contact

Research ranking, student placements, student publications.

Admissions Procedures

Program Overview

The PhD program in Operations Management emphasizes the development of models, methods, applications and algorithms as they apply to problems in industrial manufacturing, complex logistics and supply chains and services. Students are exposed to deterministic and stochastic modeling and may apply and develop these and new methods to solve problems in their selected topics. Students may combine a major in finance, information systems or marketing with one in operations management/supply chain management.

The goal of the PhD program in Operations Management is to educate future practitioners and researchers in the concepts and analytical techniques needed to develop scientific solutions to the problems currently faced by operations managers.

Anyan Qi, PhD

Phd area coordinator, operations management.

[email protected] | (972) 883-5952 | JSOM 3.214

The Operations Management PhD program is designed to train students for successful academic careers in research universities. The Operations Management group is top-ranked among public universities in North America and #3 in the world in research productivity, with large faculty specializing in such diverse areas as inventory, revenue and supply chain management, control theory, behavioral operations and empirical operations management. Our world-class faculty is committed to training and mentoring students to become productive independent researchers and excellent teachers.

The Operations Management faculty are highly visible, active researchers currently ranked #1 in research based on publications in four operations management journals.

Faculty research pursuits range from quantitative modeling to empirical studies, mathematical programming, applied stochastic processes, statistics, econometrics and economics.

Possessing latitude and depth in technical strength, their research renders a big impact both on academia and industry.

The UTD Top 100 Worldwide Rankings of Business Schools Based on Research Contribution in Management Science, Manufacturing and Service Operations Management, Operations Research, Production and Operations Management 2017-2021:

Top 10 Operations Management Programs Worldwide, ranked by Research Contribution
Rank	University	Articles	Score	Country

2	University of Pennsylvania (The Wharton School)	118	58.46	USA
3	Massachusetts Institute of Technology (Sloan School of Management)	108	46.28	USA
4	New York University (NYU) (Leonard N Stern School of Business)	92	40.11	USA
5	Columbia University (Columbia Business School)	82	40.08	USA
6	Harvard University (Harvard Business School)	74	39.20	USA
7	Cornell University / Cornell Tech (Samuel Curtis Johnson Graduate School of Management (incl. Dyson))	85	37.71	USA
8	Stanford University (Graduate School of Business)	81	37.28	USA
9	Washington University at St. Louis (Olin School of Business)	79	35.78	USA
10	University of Southern California (Marshall School of Business (incl. Leventhal))	67	34.27	USA

With a strong emphasis on rigorous coursework and student research, the Operations Management degree program immerses students in a challenging and dynamic learning environment.

Our faculty are committed to student success and innovation, and extensively collaborate with students on research papers. Students are also given the flexibility to determine their research interests and are provided access to both academic and industry resources and connections.

The goal of the Operations Management program is to educate future practitioners and researchers in the concepts and analytical techniques needed to understand and advance scientific solutions to the problems currently faced by operations managers. Students graduate from the Operations Management degree program with the knowledge and skill set to produce quality research, effectively teach and lead in industry.

Placements* – PhD in Management Science, Operations Management Concentration
Grad Year	First Name	Last Name	University/Company	Title
2024	Zihao	Qu	University of Massachusetts, Amherst	Assistant Professor
2024	Arun Kumar	Rout	University at Buffalo	Assistant Professor
2024	Goutham	Takasi	Michigan State University	Post-Doc
2023	Inki	Sul	University at Buffalo	Assistant Professor
2023	Chandrasekhar	Manchiraju	Michigan State University	Assistant Professor
2023	Lingling	Shi	McMaster University	Assistant Professor
2022	Zahra	Mobini	Georgia Tech	Assistant Professor
2022	Abdullah	Gokcinar	The Gap	Data Scientist
2022	Can	Kucukgul	Rutgers University, Camden	Assistant Professor
2022	Duc	Vu	University of Michigan, Flint	Assistant Professor
2021	Fariba	Mamaghani	Tulane University	Assistant Professor
2021	Joohyun	Kim	University of North Carolina, Charlotte	Assistant Professor
2021	Mehdi	Farahani	University of Miami	Assistant Professor
2020	Chungseung	Lee	SUNY Korea	Assistant Professor
2020	Wen	Zhang	Baylor University	Assistant Professor
2020	Jiayu	Chen	University of Calgary	Assistant Professor
2020	Zhichao	Feng	The Hong Kong Polytechnic University	Assistant Professor
2019	Blair	Flicker	University of South Carolina	Assistant Professor
2019	Harish	Guda	Arizona State University	Assistant Professor
2019	Zhongwen	Ma	Verizon	Data Scientist
2019	Xi	Shan	Bemidji State University	Assistant Professor
2018	Ying	Cao	Pennsylvania State University, Erie	Assistant Professor
2018	Xiao	Zhang	Saint Louis University	Assistant Professor
2018	Yulia	Vorotyntseva	Saint Louis University	Assistant Professor
2018	Sina	Shokoohyar	Saint Joseph’s University	Assistant Professor
2017	Bharadwaj	Kadiyala	University of Utah	Assistant Professor
2017	Ilhan Emre	Ertan	Wayfair	Science Manager
2017	Yang	Bo	Chinese University of Hong Kong	Assistant Professor
2016	Shaokuan	Chen	Target	Lead Data Scientist
2016	Shivam	Gupta	University of Nebraska-Lincoln	Assistant Professor
2016	Ting	Luo	California State University, Fullerton	Assistant Professor
2015	Bahriye	Cesaret	Ozyegin University	Assistant Professor
2015	Jingyun	Li	California State University, Stanislaus	Associate Professor
2015	Sandun	Perera	University of Nevada, Reno	Associate Professor
2015	Wei	Chen	University of Kansas	Associate Professor
2014	Liying	Mu	University of Delaware	Assistant Professor
2014	Varun	Gupta	Pennsylvania State University, Erie (Behrend College)	Associate Professor
2013	Kyung	Jung	University of Florida	Clinical Associate Professor
2013	Meng	Li	University of Houston	Associate Professor
2013	Osman	Kazan	Tulane University	Associate Director for Master of Business Analytics
2013	Qingning	Cao	University of Science and Technology of China	Associate Professor
2012	Chao	Liang	Cheung Kong Graduate School of Business	Assistant Professor
2012	Tao	Li	Santa Clara University	Associate Professor
2012	Yunxia	Zhu	University of Nebraska-Lincoln	Associate Professor
2011	Anshuman	Chutani	University of Nottingham (UK)	Assistant Professor
2011	Tharanga	Rajapakshe	University of Florida	Associate Professor
2010	Casey	Chung	S&H Systems	Vice President Strategic Planning and Logistics
2010	Jun	Ru	California State Polytechnic University, Pomona	Assistant Professor
2010	Mili	Mehrotra	University of Illinois, Urbana-Champaign	Associate Professor
2009	Gokcen	Olcay	Gebze Technical University	Associate Professor
2009	Ruixia	Shi	University of San Diego	Associate Professor
2009	Sanjay	Kumar	Valparaiso University	Richard E. Meier Endowed Professor of Management
2007	Manoj	Vanajakumari	University of North Carolina, Wilmington	Associate Professor
2007	Nagihan	Comez	Özyeğin University	Associate Professor
2007	Xuying	Zhao	University of Notre Dame	Associate Professor
2006	Jing	Zhou	University of North Carolina, Charlotte	Professor
2006	Lama	Moussawi	American University of Beirut	Associate Dean for Research and Faculty Development
2006	Qi (Annabelle)	Feng	Purdue University	Professor, John and Donna Krenicki Chair in Operations Management
2005	Hong	Yin	Western Carolina University	Assistant Professor
2005	Sanjeewa	Naranpanawe	SAS Institute	Sr. Data Scientist Consultant
2005	Sirong	Luo	Shanghai University of Finance and Economics	Professor
2005	Xianghua	Gan	Southwestern University of Finance and Economics, China	Associate Professor
2003	Neil	Geismar	Texas A&M University	The Center for Executive Development Chaired Professor
2003	Xiaohang	Yue	University of Wisconsin, Milwaukee	Professor, Roger L. Fitzsimonds Distinguished Scholar
2001	Subodha	Kumar	Temple University	Professor, Paul R. Anderson Distinguished Professor

*The placements reported here are typically the first placements. For graduates who moved out of their first placement relatively quickly, their second placement might be reported.

With degree backgrounds ranging from Purdue, Tsinghua University, Penn State and the Indian Institute of Technology, our Operations Management students are diligent, explorative, resourceful and progressive.

Our intensive program attracts quality students that both challenge and support one another. They share a unified collegiality in our diverse and interdisciplinary Operations Management degree program.

Below are examples of publications of current/recently graduated students in 24 leading business journals from 2016 onwards.

Kucukgul, Can , S. Wang and O. Ozer. Engineering Social Learning: Information Design of Time-Locked Sales Campaigns for Online Platforms. Management Science, Forthcoming.

Zhang, Minmin , G. Wang, J. Li, W.J. Hopp, D. Lee. Pausing Transplants in the Face of a Global Pandemic: Patient Survival Implications, Production and Operations Management Forthcoming.

H. Farahani, Mehdi , M. Dawande, G. Janakiraman. Order Now, Pickup in 30 Minutes: Managing Queues with Static Delivery Guarantees. Operations Research, Forthcoming.

Feng, Zhichao , M. Dawande, G. Janakiraman, A. Qi. An Asymptotically Tight Learning Algorithm for Mobile-Promotion Platforms. Management Science, Accepted.

Manchiraju, Chandrasekhar , M Dawande, G Janakiraman, Multiproduct Pricing with Discrete Price Sets. Operations Research, Forthcoming.

Qu, Zihao , M. Dawande and G. Janakiraman. A Near-Optimal Algorithm for Real-Time Order Acceptance: An Application in Post-Acute Healthcare Services. Operations Research, Forthcoming.

Dawande, M., Feng, Zhichao , and Janakiraman, G., 2021. On the Structure of Bottlenecks in Processes. Management Science , 67(6): 3853–3870.

Gupta, Shivam , Bansal, S. 2021. Optimal Market Integration Decisions by Policy Makers: Modeling and Analysis of Agriculture Market Data. Operations Research, Forthcoming.

H. Farahani, Mehdi , Dawande, Milind, Gurnani, Haresh, Janakiraman, Ganesh. 2021. Better to Bend than to Break: Sharing Supply Risk Using the Supply-Flexibility Contract. Manufacturing & Service Operations Management . 23(5):1257-1274.

Gupta, Shivam , Wang, S., Dawande, M., Janakiraman, G., 2020. Procurement with Cost and Non-Cost Attributes: Cost-Sharing Mechanisms. Operations Research . Vol. 69, No. 5, September–October 2021, pp. 1349–1367.

Shan, Xi , Li, T., and Sethi, S. A responsive-pricing retailer sourcing from competing suppliers facing disruptions. Manufacturing & Service Operations Management, Forthcoming. .

Zhang, Wen , Pavlov, V., Katok, E. Optimal Contract Under Asymmetric Information About Fairness. Manufacturing & Service Operations Management, Forthcoming. .

Zhang, Wen , Chen, Q, Katok, E. Now or Later?: When to Deploy Qualification Screening in Open-Bid Auction for Re-Sourcing. Operations Research, Forthcoming. .

Chen, Jiayu , Qi, A., Dawande, M., 2020. Supplier centrality and auditing priority in socially responsible supply chains. Manufacturing and Service Operations Management , Vol. 22, No. 6, November–December 2020, pp. 1199–1214.

Ozer, O., Bensoussan, A., Kadiyala, Bharadwaj , 2020. A mechanism design approach to vendor managed inventory. Management Science , Vol. 66, No. 6, June 2020, pp. 2628–2652.

Gao, L., Shi, Jim, J., Gorman, M.F., Luo, Ting , 2020. Business analytics for intermodal capacity management. Manufacturing and Service Operations Management , Vol. 22, No. 2, March–April 2020, pp. 310–329.

Guda, Harish , and Subramanian, U., 2019. Your uber is arriving: managing on-demand workers through surge pricing, forecast communication, and worker incentives. Management Science , Vol. 65, No. 5, May 2019, pp. 1995–2014.

Bo, Yang , Dawande, M., Huh, W.T., Janakiraman, G., Nagarajan, M., 2019. Determining process capacity: intractability and efficient special cases. Manufacturing and Service Operations Management , Vol. 21, No. 1, Winter 2019, pp. 139–153.

Dawande, M., Janakiraman, G., Bo, Yang , 2018. Technical note—Analysis of scrip systems: on an open question in johnson et. al (2014). Operations Research , Vol. 66, No. 3, May–June 2018, pp. 611–619.

Dawande, M., Bo, Yang , Janakiraman, G., McCormick, S.T. On integral policies in deterministic and stochastic distribution systems. Operations Research , Vol. 65, No. 3, May–June 2017, pp. 703–711.

Gao, L., Yang, N., Luo, Ting , Zhang, R. Dynamic supply risk management with signal-based forecast, multi-sourcing, and discretionary selling. Production and Operations Management , Vol. 26, No. 7, July 2017, pp. 1399–1415.

Petruzzi, N., Zhang, J., Li, Meng . Overconfident competing newsvendors. Management Science , Vol. 63, No. 8, August 2017, pp. 2637–2646.

Admission Procedures

Applicants should have at least a bachelor’s degree. Admission is based on grade point average, graduate examination test score (GMAT* or GRE), letters of reference (at least three, with two from academic references), business and professional experience (if applicable), a written statement of personal objectives and compatibility with faculty research activities. Since the School of Management starts making first-round admission decisions on December 9, it is best to complete the entire application process no later than December 8. While applications will be accepted after that date, applying after December 8 may significantly lower your chance of acceptance. Applications for admission can be made using the UT Dallas Graduate Application website .

* UT Dallas Naveen Jindal School of Management prefers the GMAT admission test, however, we gladly accept the GRE test as well.

Degree Requirements

Calculus, matrix algebra, computer programming and statistics are prerequisites for the doctoral program – every admitted student is responsible for ensuring he/she has satisfied these prerequisite requirements before joining the program.

Doctoral students in Management Science benefit from an exposure to multiple functional areas in management. To ensure this benefit, students who enter the program without an MBA (or equivalent degree) are required to complete a combined minimum of four courses (at the master’s or doctoral level) in at least three functional areas. This cross-functional exposure is particularly useful for students engaging in cross-functional research, in positioning their research for wider appeal and for effectively teaching business school students with diverse specializations.

The Management Science PhD core curriculum consists of a minimum of 9 courses.

Please visit the Management Science Degree Plan page for core and secondary core course requirements.

Nine semester credit hours in any approved field.

Students are required to take a sequence of specific Operations Management courses. Students should consult with faculty members in their respective areas to decide on the sequence of courses.

Twelve semester credit hours of special topics and seminars in the operations management area.

Students are required to write original research papers in both their first and second summers. The second year paper is presented in a seminar attended by faculty and other students and must be judged to be passing by the faculty before the student can advance to candidacy.

Operations Management PhD students take a written preliminary exam at the end of their first year in the program over a set of core methodology courses ( OPRE 7310 Probability & Stochastic Processes, OPRE 7311 Stochastic Models in Operations Research, OPRE 7320 Optimal Control Theory, OPRE 7353 Optimization). Students will take a qualifying exam (consisting of a completed research paper) at the end of their second year in the program (effective for students entering the program in Fall 2020 and beyond).

PhD students must successfully complete the preliminary and qualifying examinations, respectively, to enter PhD candidacy. The area faculty will determine whether a student has successfully completed the exam requirements based on the student’s performance. Criteria to evaluate students may include results from the in-class written portion of the exams, quality of research papers and/or presentations, performance in special courses (e.g. seminar courses), satisfactory GPA as determined by area faculty and other forms of assessment as required by the student’s area. An unsatisfactory performance in any one criteria for either the preliminary examination or the qualifying examination may result in dismissal from the program.

Once the student has passed qualifying exam and paper requirements, work on the dissertation can commence. The dissertation is written under the direction of the dissertation committee. Twelve to 24 semester hours may be granted for the dissertation toward the minimum 75-hour requirement for the degree. At a time mutually agreeable to the candidate and the dissertation committee, the candidate must orally defend the dissertation to the committee.

The Dissertation Proposal must be successfully defended at least one semester prior to the term of graduation. The requirements for the proposal defense should be discussed with the dissertation committee prior to scheduling the defense. Dissertation Proposal Defenses will be open to all faculty and PhD students of the Jindal School of Management.

ready-application-phd

student working on her UT Dallas application for Jindal School graduate admission on her laptop

Ready to start your PhD application?

Before you apply, get familiar with the admission requirements and application process for Jindal School PhD programs at UT Dallas.

PhD and Masters Theses

ORC THESES AND THE ORC MISSION

The theses produced at the ORC are a principle way in which the ORC achieves its mission.

Whether you are a member of our doctoral degree (PhD) program or our master’s degree (SM) program in operations research, you will write a thesis based on original, independent research conducted under the guidance of our expert faculty.

Below you will find a listing by year of the research performed by ORC students.

Theses are available on the DSpace@MIT online archive. If you would like to request a copy of a thesis, please contact MIT Document Services at 617.253.5650 or [email protected] .

MIT Document Services owns the copyrights for all MIT student theses.

Boussioux, Léonard Multimodality: Models, Algorithms, and Applications, June 2023

Chen, Wenyu Optimization Methods for Machine Learning under Structural Constraints, June 2023

Cummings, Kayla Toward Microtransit: Design and Operations of Reservation-based Systems, September 2023

Digalakis, Vasileios Analytics under Variability, Volume, and Velocity with Applications to Sustainability and Healthcare, June 2023

Gilmour, Samuel Allocating Scarce Resources: Modeling and Optimization, June 2023

Gong, Xiaoyue Data-Driven Decision Making in Operations Management, June 2023

Liang, Jason Cheuk Nam Automated Data-driven Algorithm and Mechanism Design in Online Advertising Markets, June 2023

Na, Liangyuan Optimal Decision Making for Healthcare Operations: Models and Implementation, June 2023

Susan, Fransisca Online Combinatorial Optimization for Digital Marketplaces, June 2023

Wilde, Joshua Analytics-Enabled Quality and Safety Management Methods for High-Stakes Manufacturing Applications, February 2023

Zhao, Renbo New Theory and Algorithms for Convex Optimization with Non-Standard Structures, June 2023

Zheng, Andrew Experimentation and Control in Online Platforms, June 2023

Baek, Jackie Decision-Making Under Uncertainty: From Theory to Practice, September 2022

Coey, Christopher Daniel Lang Interior point and outer approximation methods for conic optimization, May 2022

Cohen, Peter L. Algorithmic Approaches to Nonparametric Causal Inference, May 2022

Cory-Wright, Ryan Integer and Matrix Optimization: A Nonlinear Approach, May 2022

Foncea Araneda , Patricio Tomas Learning and Optimization in Modern Retail, September 2022

Gibson, Emma Optimizing Healthcare Delivery in Resource-Limited, September 2022

Kapelevich, Lea Techniques for handling nonsymmetric cones in interior point algorithms, May 2022

Lahlou Kitane, Driss Sparsity in Machine Learning: Theory and Applications, February 2022

Li, Michael Lingzhi Algorithms for Large-scale Data Analytics and Applications to the COVID-19 Pandemic, February 2022

Meigs, Emily Information and Incentives in Online Platforms, September 2022

Papalexopoulos, Theodore P. Multi-Objective Optimization for Public Policy, May 2022

Paskov, Ivan Spassimirov Stable Machine Learning, February 2022.

Paynter, Jonathan Modeling Aspects of Military Readiness, May 2022

Skali Lami, Omar Predictive and Prescriptive Analytics in Operations Management, May 2022

Sobiesk, Matthew Machine Learning Algorithms and Applications in Health Care, February 2022

Spantidakis, Ioannis Constrained Inventory Optimization on Complex Warehouse Networks, September 2022

Wiberg, Holly Mika Data-driven healthcare via constraint learning and analytics, May 2022

Xu, Qingyang Financial and Analytic Innovations for Therapeutic Development, May 2022

Amar, Jonathan Z. Algorithmic Advancements in the Practice of Revenue Management, February 2021.

Bandi, Hari Improving Efficiency and Fairness in Machine Learning: a Discrete Optimization Approach, September 2021.

Delarue, Arthur Optimizing School Operations, June 2021.

Hazimeh, Hussein Sparse Learning using Discrete Optimization: Scalable Algorithms and Statistical Insights, September 2021.

Koduri, Nihal Essays on Decision Making Under Uncertainty, June 2021.

Orfanoudaki, Agni Novel Machine Learning Algorithms for Personalized Medicine and Insurance, June 2021.

Paulson, Elisabeth Healthy Food Access and Consumption: Informing Interventions Through Analytics, September 2021.

Renegar, Nicholas Predictive Analytics and Machine Learning for the Risk-Based Management of Agricultural Supply Chains, September 2021.

Sinha, Deeksha Optimization for Online Platforms, February 2021.

Berk, Lauren New Optimization Approaches to Matrix Factorization Problems with Connections to Natural Language Processing, June 2020.

Chodrow, Philip S. Structure, Dynamics, and Inference in Networks, September 2020.

Cohen-Hillel, Tamar Past Price and Trend Effects in Promotion Planning; from Prediction to Prescription, September 2020.

Gaudio, Julia Investigations in Applied Probability and High-Dimensional Statistics, June 2020.

Hu, Michael Leveraging Data Analytics to Improve Outpatient Healthcare Operations, February 2020.

Hunter, David New Approaches to Maximizing Influence in Large-Scale Social Networks, February 2020.

Lamperski, Jourdain Bernard Structural and Algorithmic Aspects of Linear Inequality Systems, September 2020.

Lu, Jing Probabilistic Models and Optimization Algorithms for Large-scale Transportation Problems, February 2020.

Pauphilet, Jean Algorithmic Advancements in Discrete Optimization Applications to Machine Learning and Healthcare Operations, June 2020.

Singhvi, Divya Data-Driven Decision Making in Online and Offine Retail, September 2020.

Singhvi, Somya Improving Farmers’ and Consumers’ Welfare in Agricultural Supply Chains via Data-driven Analytics and Modeling: From Theory to Practice, September 2020.

Sturt, Bradley Eli Dynamic Optimization in the Age of Big Data, June 2020.

Wang, Li Online and Offline Learning in Operations, September 2020.

Wang, Yuchen Interpretable Machine Learning Methods with Applications to Health Care, June 2020.

Yan, Julia From Data to Decisions in Urban Transit and Logistics, June 2020.

Zhang, Kevin Real-Time Calibration of Large-Scale Traffic Simulators: Achieving Efficiency Through the Use of Analytical Models, September 2020.

Baardman, Lennart Analytics in Promotional Pricing and Advertising, June 2019.

Beeler, Michael Francis Inference and Decision Models for Regulatory and Business Challenges in Low-Income Countries, September 2019.

Biggs, Max Prescriptive Analytics in Operations Problems: a Tree Ensemble Approach, September 2019.

Burq, Maximilien Dynamic Matching Algorithms, February, 2019.

Chen, Louis Lester Distributionally Robust Optimization with Marginals: Theory and Applications, September 2019.

Fields, Evan Demand Uncensored: Inferring Demand for Car-Sharing Mobility Services Using Data-Driven and Simulation-Based Techniques, February, 2019.

Hariss, Rim Data-driven Optimization with Behavioral Considerations: Applications to Pricing, September 2019.

Lu, Haihao Large-Scale Optimization Methods for Data-Science Applications, June 2019.

Martin, Sebastien The Edge of Large-Scale Optimization in Transportation and Machine Learning, June 2019.

McCord, Christopher George Data-Driven Dynamic Optimization with Auxiliary Covariates, June 2019.

Mellou, Konstantina Resource Scheduling and Optimization in Dynamic and Complex Transportation Settings, June 2019.

Mundru, Nishanth Predictive and Prescriptive Methods in Operations Research and Machine Learning: An Optimization Approach, June 2019.

Nambiar, Mila Data-driven Pricing and Inventory Management with Applications in Fashion Retail, September 2019.

Ng, Yee Sian Advances in Data-Driven Models for Transportation, June 2019.

Pawlowski, Colin Machine Learning for Problems with Missing and Uncertain Data with Applications to Personalized Medicine, June 2019.

Tay, Joel Integrated Robust and Adaptive Methods in the Heating Oil Industry, February, 2019.

Zadik, Ilias Computational and Statistical Challenges in High Dimensional Statistical Models, September 2019.

Amjad, Muhammad Jehangir Sequential Data Inference via Matrix Estimation: Causal Inference, Cricket and Retail, September 2018.

Chen, Chongli Daniel Operations Management in a Large Online Retailer: Inventory, Scheduling and Picking, September 2018.

Copenhaver, Martin Steven Sparsity and robustness in modern statistical estimation, June 2018.

Dunn, Jack William Optimal Trees for Prediction and Prescription, June 2018.

Galle, Virgile Optimization Models and Methods for Storage Yard Operations in Maritime Container Terminals, February 2018.

Goh, Chong Yang Learning with Structured Decision Constraints, June 2018.

Goh, Siong Thye Machine Learning Approaches to Challenging Problems: Interpretable Imbalanced Classification, Interpretable Density Estimation, and Causal Inference, June 2018.

Gutin, Eli Practical Applications of Large-Scale Stochastic Control for Learning and Optimization, September 2018.

Huchette, Joseph Andrew Advanced mixed-integer programming formulations: Methodology, computation, and application, June 2018.

Li, Andrew A. Algorithms for Large-Scale Personalization, June 2018.

Ma, Will (Wei) Dynamic, Data-driven Decision-making in Revenue Management, September 2018.

Owen, Zachary Davis Owen Revenue Management and Learning in Systems of Reusable Resources, June 2018.

Papush, Anna Data-Driven Methods for Personalized Product Recommendation Systems, February 2018.

Pixton, Clark Operational Decisions and Learning for Multiproduct Retail, June 2018.

Tracà, Stefano Regulating exploration in multi-armed bandit problems with time patterns and dying arms, June 2018.

Udwani, Rajan Vignettes on Robust Combinatorial Optimization, September 2018.

Wang, Shujing Improving Behavioral Decision Making in Operations and Food Safety Management, September 2018.

Zhuo, Ying Daisy New Algorithms in Machine Learning with Applications in Personalized Medicine, June 2018.

Aouad, Mohammed Revenue Management in Face of Choice Heterogeneity, September 2017.

Cheung, Wang Chi Data-driven Algorithms for Operational Problems, February 2017.

Eschenfeldt, Patrick Clark Multiserver Queueing Systems in Heavy Traffic, February 2017.

Flajolet, Arthur Adaptive Optimization Problems under Uncertainty with Limited Feedback, June 2017.

Gupta, Swati Combinatorial Structures in Online and Convex Optimization, June 2017.

Korolko, Nikita A Robust Optimization Approach to Online Problems, June 2017.

Kung, Jerry Lai An Analytics Approach to Problems in Health Care, June 2017.

Lubin, Miles Mixed-Integer Convex Optimization: Outer Approximation Algorithms and Modeling Power, September 2017.

Marks, Christopher E. Analytic Search Methods in Online Social Networks, June 2017.

Thraves Cortés-Monroy, Charles Mark New Applications in Revenue Management, June 2017.

Weinstein, Alexander Michael From Data to Decisions in Healthcare: An Optimization Perspective, June 2017.

Yan, Chiwei Airline Scheduling and Air Traffic Control: Incorporating Passenger and Airline Preferences and Uncertainty, September 2017.

Dunning, Iain Robert Advances in Robust and Adaptive Optimization: Algorithms, Software, and Insights, June 2016.

Grigas, Paul Methods for Convex Optimization and Statistical Learning, September 2016.

Misic, Velibor V. Data, Models and Decisions for Large-Scale Stochastic Optimization Problem, June 2016.

Remorov, Alexander Dynamic Trading and Behavioral Finance, June 2016.

Shaposhnik, Yaron Exploration vs. Exploitation: Reducing Uncertainty in Operational Problems, September 2016.

Shi, Peng Prediction and Optimization in School Choice, June 2016.

Wang, He Dynamic Learning and Optimization for Operations Management Problems, June 2016.

Youssef, Nataly Stochastic Analysis via Robust Optimization, February 2016.

Yuan, Rong Velocity-based Storage and Stowage Decisions in a Semi-automated Fulfillment System, September 2016.

Bisias, Dimitrios Applications of Optimal Portfolio Management, September 2015.

Calmon, Andre du Pin Reverse Logistics for Consumer Electronics: Forecasting Failures, Managing Inventory, and Matching Warranties, June 2015.

Cohen, Maxime C. Pricing for Retail, Social Networks and Green Technologies, September 2015.

Fagnan, David Erik Analytics for Financing Drug Development, June 2015.

Johnson, Kris Analytics for Online Markets, June 2015.

Kallus, Nathan From Data to Decisions Through New Interfaces Between Optimization and Statistics, June 2015.

King, Angela Regression under a Modern Optimization Lens, June 2015.

Letham, Benjamin Statistical Learning for Decision Making: Interpretability, Uncertainty, and Inference, June 2015.

Lin, Maokai Optimization and Equilibrium in Dynamic Networks and Applications in Traffic Systems, February 2015.

Silberholz, John Analytics for Improved Cancer Screening and Treatment, September 2015.

Wang, Hai Design and Operation of a Last Mile Transportation System, June 2015.

Anderson, Ross Michael Stochastic Models and Data Driven Simulations for Healthcare Operations, June 2014.

Elmachtoub, Adam Nabil New Approaches for Integrating Revenue and Supply Chain Management, September, 2014.

Gupta, Vishal Data-Driven Models for Uncertainty and Behavior, June 2014.

Leung, Ngai-Hang Zachary Three Essays in Operations Management, September, 2014.

Zhu, Zhe New Statistical Techniques for Designing Future Generation Retirement and Insurance Solutions, September, 2014.

Bandi, Chaithanya Tractable Stochastic Analysis in High Dimensions via Robust Optimization, June 2013.

Chiraphadhanakul, Virot Large-Scale Analytics and Optimization in Urban Transportation: Improving Public Transit and Its Integration with Vehicle-Sharing Services, June 2013.

Figueroa, Cristian Ricardo Emission Regulations in the Electricity Market: An Analysis from Consumers, Producers and Central Planner Perspectives, September 2013.

Fontana, Matthew William Optimal Routes for Electric Vehicles Facing Uncertainty, Congestion, and Energy Constraints, September 2013.

Keller, Philipp Wilhelm Tractable Multi-product Pricing under Discrete Choice Models, June 2013.

Lu, Xin Online Optimization Problems, June 2013.

Monsch, Matthieu Large Scale Prediction Models and Algorithms, September 2013.

O’Hair, Allison Kelly Personalized Diabetes Management, June 2013.

Simchi-Levi, David Effectiveness and Design of Sparse Process Flexibilities, June 2013.

Uichanco, Joline Ann Villaranda Data-driven Optimization and Analytics for Operations Management Applications, September 2013.

Acimovic, Jason Andrew Lowering Outbound Shipping Costs in an Online Retail Environment by Making Better Fulfillment and Replenishment Decisions, September 2012.

Chang, Allison An Integer Optimization Methods for Machine Learning, June 2012.

Frankovich, Michael Joseph Air Traffic Flow Management at Airports: A Unified Optimization Approach, September 2012.

Gupta, Shubham A Tractable Optimization Framework for Air Traffic Flow Management Addressing Fairness, Collaboration and Stochasticity, June 2012.

Lobel, Ruben Pricing and Incentive Design in Applications of Green Technology Subsidies and Revenue Management, June 2012.

Shi, Cong Provably Near-Optimal Algorithms for Multi-stage Stochastic Optimization Models in Operations Management, September 2012.

Sun, Wei Price of Anarchy in Supply Chains, Congested Systems and Joint Ventures, September 2012.

Telha Cornejo, Claudio Algorithms and Hardness Results for the Jump Number Problem, the Joint Replenishment Problem, and the Optimal Clustering of Frequency-Constrained Maintenance Jobs, February 2012.

Teytelman, Anna Modeling Reduction of Pandemic Influenza Using Pharmaceutical and Non-Pharmaceutical Interventions in a Heterogeneous Population, June 2012.

Zhong, Yuan Resource Allocation in Stochastic Processing Networks: Performance and Scaling, September 2012.

Becker, Adrian Bernard Druke Decomposition Methods for Large Scale Stochastic and Robust Optimization Problems, September 2011.

Chhaochhria, Pallav Forecast-driven Tactical Planning Models for Manufacturing Systems, September 2011.

Dunkel, Juliane The Gomory-Chv´atal Closure: Polyhedrality, Complexity, and Extensions, June 2011.

Goldberg, David Alan Large Scale Queueing Systems: Asymptotics and Insights, June 2011.

Kluberg, Lionel J. Competition and Loss of Eciency: From Electricity Markets to Pollution Control, June 2011.

Michalek Pfeil, Diana Optimization of Airport Terminal-Area Air Traffic Operations under Uncertain Weather Conditions, June 2011.

Mittal, Shashi Algorithms for Discrete, Non-Linear and Robust Optimization Problems with Applications in Scheduling and Service Operations, September 2011.

Rikun, Alexander Anatolyevich Applications of Robust Optimization to Queueing and Inventory Systems, June 2011.

Sun, Xu Andy Advances in Electric Power Systems: Robustness, Adaptability, and Fairness, September 2011.

Trichakis, Nikolaos K. Fairness in Operations: From Theory to Practice, June 2011.

Williams, Gareth Pierce Dynamic Order Allocation for Make-To-Order Manufacturing Networks: An Industrial Case Study of Optimization Under Uncertainty, June 2011.

Zarybnisky, Eric Jack Maintenance Scheduling for Modular Systems–Models and Algorithms, September 2011.

Bimpikis, Kostas Strategic Delay and Information Exchange in Endogenous Social Networks, September 2010.

Doan, Xuan Vinh Optimization under Moment, Robust, and Data-Driven Models of Uncertainty, February 2010.

Fearing, Douglas The Case for Coordination: Equity, Efficiency and Passenger Impacts in Air Traffic Flow Management, Septmeber 2010.

Iancu, Dan Andrei Adaptive Robust Optimization with Applications in Inventory and Revenue Management, Septmeber 2010.

Menjoge, Rajiv New Procedures for Visualizing Data and Diagnosing Regression Models, June 2010.

Weber, Theophane Correlation Decay and Decentralized Optimization in Graphical Models, February 2010.

Harsha, Pavithra – Mitigating Airport Congestion: Market Mechanisms and Airline Response Models, February 2009.

Lobel, Ilan – Social Networks: Rational Learning and Information Aggregation, September 2009.

Lu, Ye – Essays on Inventory, Pricing and Financial Trading Strategies, September 2009.

Nguyen, Tri-Dung – Robust Estimation, Regression and Ranking with Applications in Portfolio Optimization, June 2009.

Nigmatulina, Karima Robert – Modeling and Responding to Pandemic Influenza: Importance of Population Distributional Attributes and Non-Pharmaceutical Interventions, June 2009.

Stratila, Dan – Combinatorial Optimization Problems with Concave Costs, February 2009.

Bjarnadottir, Margret – Data-Driven Approach to Health Care: Applications Using Claims Data, September 2008.

Chandler, Lincoln J. – The Minority Achievement Gap in a Suburban School District, June 2008.

Czerwinski, David – Quality of Care and Drug Surveillance: A Data-Driven Perspective, June 2008.

Mamani, Hamed – Supply Chain Coordination and Influenza Vaccination, September 2008.

Pei, Pamela – Towards a Unified Theory of Procurement Contract Design: Production Flexibility, Spot Market Trading, and Contract Structure, June 2008.

Rogozhnikov, Dmitriy – Algorithmic issues in queueing systems and combinatorial counting problems, September 2008.

Shah, Premal – Analysis of Employee Stock Options and Guaranteed Withdrawal Benefits for Life, September 2008.

Uhan, Nelson – Algorithmic and Game-Theoretic Perspectives on Scheduling, June 2008.

Chan, Timothy – Optimization under Uncertainty in Radiation Therapy, June 2007.

Goundan, Pranava – Essays on Optimization and Incentive Contracts, June 2007.

Kaminski, Kathryn – General Superposition Strategies and Asset Allocation, June 2007.

Le-Tallec, Yann – Robust, Risk-Sensitive, and Data-driven Control of Markov Decision Processes, February 2007.

Shum, Wanhang – Effective Contracts in Supply Chains, June 2007.

Simon, Carine – Dynamic Pricing with Demand Learning under Competition, September 2007.

Sivaraman, Raghavendran – Capacity Expansion in Contemporary Telecommunication Networks, September 2007.

Teo, Kwong Meng – Nonconvex Robust Optimization, June 2007.

Adida, Elodie – Dynamic Pricing and Inventory Control with no Backorders under Uncertainty and Competition, June 2006.

Gupta, Shobhit – Buyout Prices in Online Auctions, June 2006.

McCann, Lauren – Robust Model Selection and Outlier Detection in Linear Regression, June 2006.

Meyers, Carol – Network Flow Problems and Congestion Games: Complexity and Approximation Results, June 2006.

Nogueira, Alexandre – Studies Integrating Geometry, Probability, and Optimization Under Convexity, June 2006.

Roels, Guillaume – Information and Decentralization in Inventory, Supply Chain, and Transportation Systems, June 2006.

Wagner, Michael – Online Optimization in Routing and Scheduling, June 2006.

Yee, Michael – Inferring Noncompensatory Choice Heuristics, June 2006.

Aghassi, Michele Leslie – Robust Optimization, Game Theory, and Variational Inequalities, September 2005.

Bompadre, Agustin – Three Essays on Sequencing and Routing Problems, June 2005.

Martonosi, Susan Elizabeth – An Operations Research Approach to Aviation Security, September 2005.

Xu, Ping Josephine – Order Fulfillment in Online Retailing: What Goes Where, September 2005.

Kang, Laura Sumi – Degradable Airline Scheduling: an Approach to Improve Operational Robustness and Differentiate Service Quality, February 2004.

Correa, José Rafael – Approximation Algorithms for Packing and Scheduling Problems, June 2004.

Craft, David – Local Energy Management Through Mathematical Modeling and Optimization, September 2004.

Farahat, Amr – Tractability Through Approximation: A Study of Two Discrete Optimization Problems, September 2004.

Lesnaia, Ekaterina – Optimizing Safety Stock Placement in General Network Supply Chains, September 2004.

Martínez-de-Albéniz, Victor – Portfolio Strategies in Supply Contracts, June 2004.

Sim, Melvyn – Robust Optimization, June 2004.

Sood, Anshul – Competitive Multi-period Pricing for Perishable Products, June 2004.

Stier-Moses, Nicolás E. – Selfish Versus Coordinated Routing in Network Games, June 2004.

Zaretsky, Marina – Essays on Variational Inequalities and Competitive Supply Chain Models, September 2004.

Beil, Damian Two Topics in Online Auctions, June 2003.

Chen, Xin Coordinating Inventory Control and Pricing Strategies, June 2003.

De boer, Sanne Advances in Airline Revenue Management and Pricing, June 2003.

Hawkins, Jeffrey A Largrangian Decomposition Approach to Weakly Coupled Dynamic Optimization Problems and its Applications, June 2003.

Kumar, Mahesh Error-based Clustering and Its Application to Sales Forecasting in Retail Merchandising, September 2003.

Mersereau, Adam Dynamic Optimization for Adaptive Customized Marketing, September 2003.

Shioda, Romy Integer Optimization in Data Mining, June 2003.

Sun, Peng Constructing Learning Models from Data: The Dynamic Catalog Mailing Problem, June 2003.

Wu, Joseph T. Optimization of Influenza Vaccine Strain Selection, June 2003.

Bossert, John Modeling and Solving Variations of the Network Loading Problem, September 2002.

Cohn, Amy E. Composite-Variable Modeling for Large-Scale Problems in Transportation and Logistics, June 2002.

Kachani, Soulaymane Dynamic Travel Time Models for Pricing and Route Guidance: A Fluid Dynamics Approach, June 2002.

Muharremoglu, Alp A New Perspective on Multi-Echelon Inventory Systems, September 2002.

Ordonez, Fernando On the Explanatory Value of Condition Numbers for Convex Optimization: Theoretical Issues and Computational Experience, September 2002.

Pachamanova, Dessislava A. A Robust Optimization Approach to Finance, June 2002.

Rifkin, Ryan Everything Old is New Again: A Fresh Look at Historical Approaches in Machine Learning, September 2002.

Sharma, Dushyant Cyclic Exchange and Related Neighborhood Structures for Combinatorial Optimization Problems, June 2002.

Ergun, Ozlem New Neighborhood Search Algorithms Based on Exponentially Large Neighborhoods, June 2001.

Haugh, Martin B. Essays in Financial Engineering, September 2001.

Humair, Salal Yield Management for Telecommunication Networks: Defining a New Landscape, February 2001.

Lauprete, Geoffrey J. Portfolio Risk Minimization under Departures from Normality, September 2001

Armacost, Andrew P. Composite Variable Formulation for Express Shipment Service Network Design, September 2000.

Chew, Elaine Towards a Mathematical Model of Tonality, February 2000.

Demir, Ramazan An Approximate Dynamic Programming Approach to Discrete Optimization, June 2000.

Gallien, Jérémie Optimization-Based Auctions and Stochastic Assembly Replenishment Policies for Industrial Procurement, June 2000.

Hollywood, John S. Performance Evaluation and Optimization Models for Processing Networks with Queue-Dependent Production Quantities, June 2000.

Hsu, Leon C. The Bottleneck Phenomenon in Scheduling of Transportation Systems, February 2000.

Taylor, Jonathan D. Essays on the Empirical Properties of Stock and Mutual Fund Returns, June 2000.

Croxton, Keely L., Modeling and Solving Network Flow Problems with Piecewise Linear Costs, with Applications in Supply Chain Management, September 1999.

Epelman, Marina, Complexity, Condition Numbers and Conic Linear Systems, June 1999.

Hall, William, Efficient Capacity Allocation in a Collaborative Air Transportation System, June 1999.

Nemec, Joseph, Diffusion and Decompostition Approximations of Stochastic Models of Muolticlass Processing Networks, February 1999.

Popescu, Ioana, Application of Optimization in Probability, finance and Revenue Management, June 1999.

Sethuraman, Jayachandran, Scheduling Multiclass Queueing Networks and Job Shops using Fluid and Semidefinite Relaxation, September 1999.

Sokol, Joel, Optimizing Paint Blocking in an Automobile Assembly Line: An Application of Specialized TSP1s, June 1999.

Chryssikou, Efthalia, Multiperiod Portfolio Optimization in the Presence of Transaction Costs, June 1998.

D’Amato, Rebecca, Management of Antiretroviral Therapy for HIV Infection: Modeling When to Change Therapy, June 1998.

Epstein, Rafael, Linear Programming and Capacitated Network Loading, February 1998.

Gamarnik, David, Stability and Performance of Multiclass Queueing Networks, February 1998.

Hauksson, Arni, The Commercialization of University Research Discoveries: Are University Technology Transfer Offices Stimulating the Process? February 1998.

Kniker, Timothy, Itinerary-Based Airline Fleet Assignment, June 1998.

Osuna, Edgar, Support Vector Machines: Training and Applications, June 1998.

Ruark, John, Implementing Reusable Solvers: An Object-Oriented Framework for Operations Research Algorithms, June 1998.

Toktay, Latife Beril, Analysis of a Production-Inventory System under a Stationary Demand Process and Forecast Updates, June 1998.

Wang, Yi, Modeling and Solving Single and Multiple Facility Network Restoration Problems, June 1998.

Christodouleas, James, Solution Methods for Multiprocessor Network Scheduling Problems, with Application to Railroad Operations” June 1997.

Nunez Araya, Manuel A., Condition Numbers and Properties of Central Trajectories in Convex Programming, September 1997.

Patterson, Sarah Stock, Dynamic Flow Management Problems in Air Transportation, June 1997.

Aggarwal, Charu C., Faster Algorithms for Some Network Flow Problems, June 1996.

Bonvik, Asbjoern M., Performance Analysis of Manufacturing Systems Under Hybrid Control Policies, June 1996.

Fang, Yue, Volatility Modeling and Estimation of High-Frequency Data with Gaussian Noise, June, 1996.

Markowitz, David M., A Unified Approach to Single Machine Scheduling: Heavy Traffic Analysis of Dynamic Cyclic Policies, June 1996.

Pinker, Edieal J., Models of Flexible Workforce Management in Uncertain Environments, June 1996.

Miller, Michael G., Optimal Allocation of Resources to Clinical Trials, September 1996.

Rimm-Kaufman, Alan P., Risk Mitigation Models for a Japanese Railroad,” June 1996.

Teo, Chung-Piaw, Constructing Approximation Algorithms Via Linear Programming Relaxations: Primal Dual and Randomized Rounding Techniques, September 1996.

Zenios, Stefanos A., Health Care Applications of Optimal Control Theory, June 1996.

Burman, Mitchell H., New Results in Flow Line Analysis, June 1995.

Chi, Zhihang, Airline Yield Management in a Dynamic Network Environment, February 1995.

Luo, Xiao-Dong, Continuous Linear Programming: Theory, Algorithms and Applications, September 1995.

Malone, Kerry M., Dynamic Queueing Systems: Behavior and Approximations for Individual Queues and for Networks, June 1995.

Milner, Joseph, Dynamic Slot Allocation with Airline Participation, June 1995.

Mourtzinou, Georgia, An Axiomatic Approach to Queueing Systems, June 1995.

Nino-Mora, Jose, Optimal Resource Allocation in a Dynamic and Stochastic Environment: A Mathematical Programming Approach, June 1995.

Raghavan, S., Formulations and Algorithms for Network Design Problems with Connectivity Requirements, February 1995.

Ricard, Michael J., Optimization of Queueing Networks: An Optimal Control Approach, June 1995.

Rubio, Rodrigo, Dynamic-Stochastic Vehicle Routing and Inventory Problem, September 1995.

Shumsky, Robert A., Dynamic Statistical Models for the Prediction of Aircraft Take-off Times, September 1995.

Theodosopoulos, Theodore V., Stochastic Models for Global Optimization, June 1995.

Huang, Yen-Chin, Empirical Distribution Function Statistics, Speed of Convergence, and p-Variation, June 1994.

Ingolfsson, Armann, Earthquake Forecasts: The Life-Saving Potential of Last-Minute Warnings, September 1994.

Klaassen, Pieter , Stochastic Programming Models for Interest-Rate Risk Management,” June 1994.

Ramakrishnan, V.S., On Cuts and Clutters, September 1994.

Staats, Richard C., Integration of Predictive Routing Information with Dynamic Traffic Signal Control, September 1994.

Mondschein, Susana V., Optimal Sales Strategies in Stochastic, Dynamic Environments, June 1993.

Srivatsan, Narayanan, Synthesis of Optimal Policies for Stochastic Manufacturing Systems, September 1993.

Athaide, Christopher, Capacity Allocation and Safety Stocks in Manufacturing Systems, February 1992.

Chevalier, Philippe, Two Topics in Multistage Manufacturing Systems, June 1992.

Gopalan, Ramasubramanian, Exploiting Process Flexibility in Metal Forming Operations, September 1992.

Hall, Susan A., New Directions in Queue Inference for Management Implementation, June 1992.

Kodialam, Muralidharan, The O-D Shortest Path Problem and Connectivity Problems on Periodic Graphs, February 1992.

Pappu, Suguna, Production Planning with Due-Date Constraints, June 1992.

Polychronopoulos, George, Stochastic and Dynamic Shortest Distance Problems, June 1992.

Veatch, Michael H., Queueing Control Problems for Production/Inventory Systems, September 1992.

Vranas, Peter B., The Multi-Airport Ground-Holding Problem in Air Traffic Control, June 1992.

Abe, Makoto, A Marketing Mix Model Developed From Single Source Data: A Semiparametric Approach, September 1991.

Bai, Sherman X. , Scheduling Manufacturing Systems with Work-in-Process Inventory Control, September 1991.

Ballman, Karla V., Cost-Effectiveness of Smart Traffic Signals, June 1991.

Gau, Shiow-Hwa, Server Management in Queueing System, February 1991.

Ou, Jihong, Dynamic Scheduling of Queueing Networks, September 1991.

Richetta, Octavio, Ground Holding Strategies for Air Traffic Control Under Uncertainty, June 1991.

Talluri, Kalyan T., Issues in the Design and Analysis of Survivable Networks, September 1991.

Van Ryzin, Garrett, Stochastic and Dynamic Vehicle Routing in Euclidean Service Regions, June 1991.

Venkatakrishnan, C.S., Analysis and Optimization of Terminal Area Air Traffic Control Operations, February 1991.

Caulkins, Jonathan P., The Distribution and Consumption of Illicit Drugs: Some Mathematical Models and Their Policy Implications, June 1990.

Goemans, Michel X., Analysis of Linear Programming Relaxations for a Class Connectivity Problems, September 1990.

Nakazato, Daisuke, Transient Distributional Results in Queues with Applications to Queueing Networks, September 1990.

Tan, Kok-Choon, Newton’s Method for Parametric Center Problems, June 1990.

Zhang, Hongtao, Cyclic Scheduling in a Stochastic Environment, June 1990.

Eckstein, Jonathan – Splitting Methods for Monotone Operators With Applications to Parallel Optimization, September 1989

Hall, Leslie A. – Two Topics in Discrete Optimization: Polyhedral Structure of Capacitated Trees and Approximation Algorithms for Scheduling, September 1989

Luo, Zhi-Quan (Tom) – Communication Complexity of Some Problems in Distributed Computation, September 1989

Webb, Ian R. – Period and Phase of Customer Replenishment: A New Approach to Inventory / Routing Problem, June 1989

Abraham, Magid M. – Retailer Forward Buying of Consumer Goods, June 1988

Bertsimas, Dimitris J. – Probabilistic Combinatorial Optimization Problems, September 1988

Boyd, E. Andrew – Optimization Problems on Greedoids, February 1988

Thompson, Paul M. – Local Search Algorithms for Vehicle Routing and Other Combinatorial Problems, June 1988

Wagner, Janet M. – Stochastic Programming and Recourse Applied to Groundwater Quality Management, June 1988

Gordon, Ethel-Sherry – New Problems in Queues: Social Injustice and Server Production Management, June 1987

Marujo, Ernesto – Dynamic Allocation of Machines to Product Families in the Presence of Setup Delays, September 1987

Qiu, Yuping – Sensitivity Analysis for Variational Inequalities, June 1987

Chapman, Paul T. – Decision Models for Multistage Production Planning, February 1986

Cox, Jr., Louis A. – Mathematical Foundations of Risk Measurement, June 1986

Hiller, Randall – Stochastic Programming Approximation Methods with Applications to Multistage Production Planning, September 1986

Leung, Janny M. Y. – Polyhedral Structure of Capacitated Fixed Charge Problems and A Problem in Delivery Route Planning, February 1986

MacDonald, Bruce – A Generalized Model for the Prediction of Controller Intervention Rates in the En Route Air Traffic Control System, September 1986

Schaack, Christian – Cutoff Priority Queues: A Methodology for Police Patrol Dispatching, February 1986

Tseng, Paul – Relaxation Methods for Monotopic Programming Problems, June 1986

Yee, James R. – Distributed Routing and Flow Control Algorithms for Communications Networks, February 1986

Bienstock, Daniel – Large-Scale Reliability, September 1985

Haimovich, Mordecai – Large Scale Geometric Location Problems, February 1985

Hammond, Janice H. – Solving Asymmetric Variational Inequality Problems and Systems of Equations with Generalized Nonlinear Programming Algorithms, February 1985

Lo Faso, Anthony J. – On the Optimal Allocation of Prison Space, February 1985

Lamar, Bruce W. – Network Design Algorithms with Applications to Freight Transportation, September 1985

Minkoff, Alan S. – Real-Time Dispatching of Delivery Vehicles, September 1985

Vande Vate, John H. – The Linear Matroid Parity Problem, February 1985

Batta, Rajan – Facility Location in the Presence of Congestion, September 1984

Kaplan, Edward H. – Managing the Demand for Public Housing, June 1984

Luque, Fernando Javier Rodilla – Nonlinear Proximal Point Algorithms, June 1984

Matsuo, Hirofumi – The Capacitated Lot Size Problems, June 1984

Bier, Vicki M. – A Measure of Uncertainty Importance for Components in Fault Trees, February 1983

Constantopoulos, Panagiotis C. – Computer-Assisted Control of Electricity Usage By Consumers, June 1983

D’Aversa, Joseph Salvatore – Numerical Methods for Group Theoretic Integer Programming, June 1983

Huang, Kuan-Tsae – Query Optimization in Distributed Databases, February 1983

Chandru, Vijaya – Complexity of the Super-Group Approach to Integer Programming, September 1982

Chiu, Samuel S. – Location Problems in the Presence of Queuing, February 1982

Kalish, Shlomo – Control Variables in Models of Innovation Diffusion, June 1982

Sarkar, Debashish – Energy Economics and Optimization: A Synthesis, February 1982

Roth, Emily J. – An Investigation of the Transient Behavior of Stationary Queuing Systems, June 1981

Valor-Sabatier, Josep – Diagnostic Analysis of Inventory Systems, June 1981

Sadiq, Ghazala – Facility Location Problems in Spaces with Discontinuities in the Travel Medium, June 1981

Sempolinski, Dorothy – Inverse Optimization Applied to Fixed Charge Models, February 1981

Yanasse, Horacio H. – Aggregation and Computational Complexity of Lot Size Problems, September 1981

Livne, Zvi A. – The Role of Time in Negotiations, September 1979.

Berman, Oded – Dynamic Positioning of Mobile Servers on Networks, February 1978.

Modiano, Eduardo M. – Normative Models for Optimal Seismic Design, June 1978.

Pariente, Silvia – Mathematical Programming Approaches to Modeling Technological Change, with Applications to the Energy Sector, June 1978.

Shepardson, Wilfred B. – A Lagrangean Relaxation Algorithm for the Two Duty Period Scheduling Problem, June 1978.

Bloom, Jeremy A. – A Mathematical Model of Fuel Distribution in New England, September 1978.

Eriksen, Steven E. – Policy Oriented Multi-Equation Models of U.S. Domestic Air Passenger Markets, September 1977.

Bitran, Gabriel R. – Admissible Points and Vector Optimization: A Unified Approach, February 1975.

Cretin, Shan A. – A Model of the Risk of Death from Myocardial Infarction, February 1975.

Mirchandani, Pitu B. – Analysis of Stochastic Networks in Emergency Service Systems, February 1975.

Hauser, John R. – A Normative Methodology for Predicting Consumer Response to Design Decisions: Issues, Models, Theory and Use, June 1975.

Boyle, Brian Edward – Computer-Aided Therapeutic Diagnosis, June, 1974.

Handler, Gabriel Y. – Minimax Network Location: Theory and Algorithms, September, 1974

Bell, David – The Resolution of Duality Gaps in Discrete Optimization, September 1973.

Mehta, Cyrus – Multi period Adaptive Control of the Wellhead Price of Natural Gas: A Bayesian Decision Theoretic Approach, September 1973.

Rousseau, Jean-Marc – A Cutting Plane Method for the Fixed Cost Problem, September 1973.

Oliver, Robert M. – The Design and Error Analysis of a Production and Inventory Control System, June, 1957.

Little, John D.C. – Use of Storage Water in a Hydroelectric System, February 1955.

Jiang, Qingxuan Choice Modeling and Assortment Optimization on the Transformer Model, February 2024

Robin, Arnaud Robust Inventory Induction under Demand Uncertainty, February 2024

Angevine, Kathryn Multi-Modal Transit Time Prediction for E-Commerce Fulfillment Optimization and Carbon Emissions Reduction, June 2023

Benbaki, Riade Topics in Sparsity and Compression: From High dimensional statistics to Overparametrized Neural Networks, June 2023

Luciano Rivera , Gianpaolo Data-driven Clustering for New Garment Forecasting, June 2023

Ramé, Martin Branch-and-Price for Prescriptive Contagion Analytics, June 2023

Reubenstein, Rebecca Equitable Community Health Worker Deployment in sub-Saharan Africa: A Modeling Framework for Stochastic Health Progression, June 2023

Siegel, Benjamin M. Innovative Supply Chain Cyber Risk Analytics: Unsupervised Clustering and Reinforcement Learning Approaches, June 2023

Blanks, Lindsey Operational Scheduling of Deep Space Radars for Resident Space Object Surveillance, May 2022

Groszman, Kenny Sequential Optimization for Prospective Patient Segmentation and Content Targeting, May 2022

Guinet, Gauthier Marc Benoit Bandit Problems under Censored Feedback, September 2022

Humphries, Samuel S. Analytics for Sustainable Logistics: Fuel Efficiency and Hydrogen Planning, May 2022

Niu, Yumeng Optimal Targeting under Gender Fairness, May 2022

Slavov, Stanislav Causal Inference: Heterogeneous Effects and Non-stationary Environments, May 2022

Wyler, Paige Developing a Decision-Making Framework for Carbon: Incorporating Carbon into Optimized Business Objectives, May 2022

Escribe, Célia Reducing Physician Burnout and Costs in Outpatient Healthcare Settings via Advanced Analytics, June 2021.

Georgescu, Andreea Inventory Positioning in Modern Retail, February 2021.

Halem, Zachery M. Financing Fusion Energy, June 2021.

Kaw, Neal Preventing Opioid Overdose: From Prediction to Operationalization, June 2021.

Kendall, Thomas P. Optimizing Weapon Precision, June 2021.

Killian, Daniel T. Operational Innovations to Improve Malawi’s HIV Sample Transportation Network, June 2021.

Koch, Matthew Air Force Crew Scheduling: An Integer Optimization Approach, June 2021.

Yuan, Matthew An EM algorithm for Lidar deconvolution, June 2021.

Burnham, Katherine Lee Information Fusion for an Unmanned Underwater Vehicle through Probabilistic Prediction and Optimal Matching, June 2020.

Dan, Or Improving Prior Knowledge Assessment in Process Characterization, June 2020.

Dimaki, Georgia Dynamic Node Clustering in Hierarchical Optical Data Center Network Architectures, September 2020.

Emschwiller, Matt V. Understanding Neural Network Sample Complexity and Interpretable Convergence-guaranteed Deep Learning with Polynomial Regression, June 2020.

Graham, Justin W. School Choice: A Discrete Optimization Approach, June 2020.

Liu, Jessamyn Anomaly Detection Methods for Detecting Cyber Attacks in Industrial Control Systems, September 2020.

Lukin, Galit Prescriptive Methods for Adaptive Learning, June 2020.

McIntyre, Colin Alex Optimizing Inbound Freight Mode Decisions, June 2020.

Poullet, Julie Leveraging Machine Learning to Solve the Vehicle Routing Problem with Time Windows, June 2020.

Blanks, Zachary D . A Generalized Hierarchical Approach for Data Labeling, June 2019.

Guenon des Mesnards, Nicolas Identifying and Assessing Coordinated Influence Campaigns on Social Networks, June 2019.

Thomas, Merin Intelligent Supplies Replenishment Process, June 2019.

Zhang, Rebecca Interpretable Machine Learning Methods for Stroke Prediction, September 2019.

Zhu, Jessica H. Detecting Food Safety Risks and Human Trafficking Using Interpretable Machine Learning Methods, June 2019.

Dedieu, Antoine Sparse learning: Statistical and Optimization perspectives, June 2018.

Furtado, Jazmin D. Applications of Healthcare Analytics in Reducing Hospitalization Days, June 2018.

Herrling, Austin Donald Optimization of Micro-Coaxial Wire Routing in Complex Microelectronic Systems, June 2018.

Xu, Sharon Modeling Human Dynamics and Lifestyles using Digital Traces, June 2018.

Vanden Berg, Andrew M. Optimization-Simulation Framework to Optimize Hospital Bed Allocation in Academic Medical Centers, September 2018.

Anoun, Amine A Data-Driven Approach to Mitigate Risk in Global Food Supply Chains, June 2017.

Candela Garza, Eduardo Revenue Optimization for a Hotel Property with Different Market Segments: Demand Prediction, Price Selection and Capacity Allocation, September 2017.

Mariadassou, Shwetha Paramananda Relative Performance Transparency: Effects on Sustainable Purchase and Consumption Behavior, June 2017.

Morse, Steven T. Persistent Cascades and the Structure of Influence in a Communication Network, June 2017.

Scully, Timothy Redesigning Liver Allocation Regions through Optimization, June 2017.

Webb, Matthew Robert Inferring User Location from Time Series of Social Media Activity, June 2017.

Lee, Peter Alexander Think Global, Act Local When Estimating a Sparse Precision Matrix, June 2016.

Mundell, Lee Carter Predicting Performance Using Galvanic Skin Response, June 2016.

Rajagopalan, Krishnan Interacting with Users in Social Networks: The Follow-back Problem, June 2016.

Saroufim, Carl Elie Internet of Things and Anomaly Detection for the Iron Ore Mining Industry, June 2016.

Saunders, Zachary Clayton Multi-target Tracking via Mixed Integer Optimization, June 2016.

Borjian Boroujeni, Setareh Optimization of Yard Operations in Maritime Container Terminals, June 2015.

Hanley, Zebulon James Delay Characterization and Prediction in Major U.S. Airline Networks, June 2015.

Harris, William Ray Anomaly Detection Methods for Unmanned Underwater Vehicle Performance Data, June 2015.

Lepird, John R. Multi-Objective Optimization of Next-Generation Aircraft Collision Avoidance Software, June 2015.

Rhee, Donguk Faster Fully Polynomial Approximation Schemes for Knapsack Problems, June 2015.

Rizzo, Ludovica Price Incentives for Online Retailers using Social Media Data, June 2015.

Rossillon, Kevin Joseph Optimized Air Asset Scheduling Within a Joint Aerospace Operations Center (JAOC), June 2015.

Schonfeld, Daniel Dynamic Prediction of Terminal-Area Severe Convective Weather Penetration, June 2015.

Sheth, Mallory Predicting Mortality for Patients in Critical Care: a Univariate Flagging Approach, June 2015.

Testa, Mariapaola Modeling and Design of Material Recovery Facilities: Genetic Algorithm Approach, June 2015.

Epstein, Christina An Analytics Approach to Hypertension Treatment, June 2014.

Fast, Shannon M. Pandemic Panic: A Network-based Approach to Predicting Social Response During a Disease Outbreak, June 2014.

Jernigan, Nicholas R. Multi-modal, Multi-period, Multi-commodity Transportation: Models and Algorithms, June 2014.

Kim, Louis Y. Estimating Network Structure and Propagation Dynamics for an Infectious Disease: Towards Eective Vaccine Allocation, June 2014.

Paynter, Jonathan L. Optimized Border Interdiction, June 2014.

Sahyoun, Alexandre Paul Application of Aircraft Sequencing to Minimize Departure Delays at a Busy Airport, June 2014.

Williams, Mark J Column Generation Approaches to the Military Airlift Scheduling Problem, June 2014.

Bunting, Zachary S. Improving Performance through Topology Management and Wireless Scheduling in Military Multi-hop Radio Networks, June 2013.

Culver, David M. Robust Reconnaissance Asset Planning Under Uncertainty, June 2013.

Frost, Emily Anne Robust Planning for Unmanned Underwater Vehicles, June 2013.

Kessler, John M United States Air Force Fighter Jet Maintenance Models: Eectiveness of Index Policies, June 2013.

Lepage, Pierre-Olivier Performance of Multiple Cabin Optimization Methods in Airline Revenue Management, June 2013.

Relyea, Stephen L. An Analytics Approach to Designing Clinical Trials for Cancer, June 2013.

Robinson, Eric John Coordinated Planning of Air and Space Assets: An Optimization and Learning Based Approach, June 2013.

Bradwick, Matthew E. Belief Propagation Analysis in Two-Player Games for Peer-Influence Social Networks, June 2012.

Crimmel, Brian A. A Priori and On-line Route Optimization for Unmanned Underwater Vehicles, June 2012.

Evans, Jane A. Modeling Social Response to the Spread of an Infectious Disease, June 2012.

Parandehgheibi, Marzieh Survivable Paths in Multilayer Networks, June 2012.

Wang, Hai Approximating the Performance of a Last Mile Transportation System, June 2012.

Cates, Jacob Roy Route Optimization Under Uncertainty for Unmanned Underwater Vehicles, June 2011.

Cho, Philip Y. Optimal Scheduling of Fighter Aircraft Maintenance, June 2011.

Howard, Nicholas J. Finding Optimal Strategies for Influencing Social Networks in Two Player Games, June 2011.

Boyer, Christopher A. Statistical Methods for Forecasting and Estimating Passenger Willingness-to-Pay in Airline Revenue Management, June 2010.

Chaiwanon, Wongsakornt Capacity Planning and Admission Control Policies for Intensive Care Units, September 2010.

Chiraphadhanakul, Virot Routing and Scheduling Models for Robust Allocation of Slack, June 2010.

Diwan, Sarvee Performance of Dynamic Programming Methods in Airline Revenue Management, June 2010.

Frumin, Michael S Automatic Data for Applied Railway Management: Passenger Demand, Service Quality Measurement, and Tactical Planning on the London Overground Network, June 2010.

Gupta, Shubham Transient Analysis of D(t)/M(t)/1 Queuing System with Applications to Computing Airport Delays, June 2010.

Herold, Thomas Michael Asynchronous, Distributed Optimization for the Coordinated Planning of Air and Space Assets, June 2010.

Hung, Benjamin W. K. Optimization-Based Selection of Influential Agents in a Rural Afghan Social Network, June 2010.

Rajagopalan, Shreevatsa Distributed Averaging in Dynamic Networks, September 2010.

Seidel, Scott B. Planning Combat Outposts to Maximize Population Security, June 2010.

Shenk, Kimberly N. Patterns of Heart Attacks, June 2010.

Snyder, Ashley M. Data Mining and Visualization: Real Time Predictions and Pattern Discovery in Hospital Emergency Rooms and Immigration Data, June 2010.

Vaze, Vikrant Calibration of Dynamic Traffic Assignment Models with Point-to-Point Traffic Surveillance, June 2010.

Yang, Lang Modeling Preferences for Innovative Modes and Services: A Case Study in Lisbon, June 2010.

Marks, Christopher E. – Optimization-Based Routing and Scheduling of IED-Detection Assets in Contemporary Military Operations, June 2009.

Negron, Blair Ellen Leake – Operational Planning for Multiple Heterogeneous Unmanned Aerial Vehicles in Three Dimensions, June 2009.

Sasanuma, Katsunobu – Policies for Parking Pricing Derived from a Queueing Perspective, September 2009.

Soldner, Mallory Jo – Passenger-Centric Ground Holding: Including Connections in Ground Delay Program Decisions, June 2009.

Flietstra, Bryan C. – A Data Mining Approach for Acoustic Diagnosis of Cardiopulmonary Disease, June 2008.

Foreman, John William – Optimized Supply Routing at Dell Under Non-Stationary Demand, June 2008.

Gaudet, Megan – Harmonization of Aviation User Charges in the North Atlantic Airspace, June 2008.

Guo, Jingqiang Charles – Estimation of Sell-up Potential in Airline Revenue Management Systems, June 2008.

Le Guen, Thibault – Data-driven pricing, September 2008.

Limpaitoon, Tanachai – Real-time Multi-Period Truckload Routing Problems, February 2008.

Murphy, Maurice D. – Tropical Cyclone Preparedness and Response: Opportunities for Operations Research, June 2008.

Noyes, Clay W. – Analysis and Optimization of the Emergency Department at Beth Israel Deaconess Medical Center via Simulation, June 2008.

Quinteros, Martin – Managing Portfolios of Products and Securities, September 2008.

Siow, Christopher – Analysis of Batching Strategies for Multi-Item, February 2008.

Ye, Yunqing – Joint Pricing and Inventory Decision for Competitive Products, February 2008.

Bryant, Corban Harrell – Robust Planning for Effects-Based Operations, June 2006.

Guo, Kenrick – Examining Financial Puzzles From An Evolutionary Perspective, February 2006.

Hanowsky, Michael – A Tool to Support the Planning of Ground Delay Programs Subject to Uncertain Arrival Capacities, June 2006.

McAllister, Daniel B. – Planning with Imperfect Information: Interceptor Assignment, June 2006.

Sakamoto, Philemon – UAV Mission Planning Under Uncertainty, June 2006.

Shah, Premal – No-arbitrage Bounds on American Put Options with Single Maturity, June 2006.

Zhou, Xinfeng – Application of Robust Statistics to Asset Allocation Models, June 2006.

Chandler, Lincoln J . – A Decision Analytic Approach to Web-Based Clinician Training, February 2005.

Hickman, Randal E. – Interception Algorithm for Autonomous Vehicles with Imperfect Information, June 2005.

Malasky, Jeremy S. – Human Machine Collaborative Decision Making in a Complex Optimization System, June 2005.

Mostagir, Mohamed – Fully Polynomial Time Approximation Schemes for Sequential Decision Problems, September 2005.

Tardy, Raphaël – Optimization Models and Algorithms for Large-Scale, Capacity Constrained Pick-up and Delivery Problems with Time WIndows, June 2005.

Weber,Theophane – Conditional Dynamics of Non-Markovian, Infinite-Server Queues, June 2005.

Wroten, Matthew C. -Coordinated Dynamic Planning for Air and Space Operations, June 2005.

Yamanaka, Shiro -The Impact of Infrastructure-Related Taxes and Fees on Airline Fares in the US and the European Union, June 2005.

Agbokou, Biova – Robust Airline Schedule Planning: Review and Development of Optimization Approaches, June 2004.

Alighanbari, Mehdi – Task Assignment Algorithms for Teams of UAVs in Dynamic Environments, June 2004.

Jeffreys, Christopher G. – Support Vector Machine and Parametric Wavelet-Based Texture Classification of Stem Cell Images, June 2004.

Key, Jonathan Ramsay – Routing in Probabilistic Networks, June 2004.

Koepke, Corbin G. – Multi-Mission Optimized Re-Planning in Air Mobility Command’s Channel Route Execution, June 2004.

Sarmadi, Sepehr – Minimizing Airline Passenger Delay through Integrated Flight Scheduling and Aircraft Routing, June 2004.

Tanizar, Ketty – Alternatives to the Gradient in Optimal Transfer Line Buffer Allocation, September 2004.

Timmers, Kendell M. – Learning Together Better: The Structured Design of Learning Teams, June 2004.

Varol, Nebibe – Inventory Deployment and Market Area Segmentation in a Two-Echelon Distribution Network Design, June 2004.

Ergun, Ayla Optimal Scheduling of Radiotheraphy and Angiogenic Inhibitors, February 2003.

Seyhan, Murat Private Risk and an Example From the Pharmaceutical Industry, February 2003.

El Alj, Yasmine Estimating the True Extent of Air Traffic Delays, June 2003.

Mao, Ye A Profit Maximization Model in a Two-Echelon Supply Chain Management: Distribution and Pricing Strategies, June 2003.

Phomma, Maxime Product Development Collaboration Between Original Equipment Manufacturers and After Market Suppliers, June 2003.

Xu, Ping Approximate Expected Delay for a Nonstationary Queue and an Application to Air Traffic Control, June 2003.

Zarybnisky, Eric J. Allocation of Air Resources Against an Intelligent Adversary, June 2003.

Yee, Michael Solving Network Equilibrium Problems in Static and Dynamic Environments, September 2003.

Amonlirdviman, Kevin The Dynamics of Global Financial Crises, June 2002.

Bart, Yakov Y. Determinants and Consequences of Trust in Online Environment, September 2002.

Kang, Seong-Cheol Algorithms for Routing Problems in Stochastic Time-Dependent Networks, June 2002.

Nielsen, Christopher A. Large-Scale Network Design using Composite Variables:An Application to Air Mobility Command’s 30-day Channel Route Network, June 2002.

Schorr, Raphael Avram On the Explanatory Value of Condition Numbers for Convex Optimization: Theoretical Issues and Computational Experience, September 2002.

Shioda, Romy Restaurant Revenue Management, June 2002.

Achy-Brou, Aristide C.E. A New Approach to Multistage Serial Inventory Systems, February 2001.

Barth, Christopher Composite Mission Variable Formulation For Real-Time Mission Planning, June, 2001.

Chandra, Anurag Algorithms for Locomotive Scheduling, February 2001.

Clark, Steven J. Large-Scale Optimization Planning Methods for Distribution and Transportation. Logistics: An Application to Contingency Munitions, June, 2001.

Duran Murrieta, Rodolfo Effects of Supply Chain Strategy in Distribution Networks, February 2001.

Idris, Husni Rifat Queuing Dynamics and Control of Departure Operations at Boston Logan Airport, February 2001.

Jang, Young Jae Multiple Part Type Decompostion Method in Manufacturing Processing Line, June, 2001.

Moffitt II, Jeffrey D. Applying the Metrics Thermostat to Naval Acquisitions for Improving the Total Ownership Cost-Effectiveness of News Sytems, June, 2001.

Theatte, Kermit Tactical Shipping and Scheduling at Polaroid with Dual Lead Times, June, 2001.

Toubia, Olivier Interior-Point Methods Applied to Internet Conjoint Analysis, February 2001.

Werner,Loren M. Analysis and Design of Closed Loop Manufacturing Systems, September, 2001.

Andersson, Kari Potential Benefits of Information Sharing During the Arrival Process at Hub Airports, June 2000.

Cohen, Jonathan E. W. Safety at What Price?: Setting Anti-terrorist Policies for Checked Luggage on US Domestic Aircraft, June 2000.

Coumeri, Marc H. Dynamic Pricing in a Competitive Environment: A Learning Approach September 2000.

Gzouli, Omar Comparison of Scheduling Policies by Simulation, June 2000.

Kachani, Soulaymane Analytical Dynamic Traffic Flow Models: Formulation, Analysis and Solution Algorithms, February 2000.

McKeever, Scott D. Path Planning for an Autonomous Vehicle, June 2000.

Messmacher, Eduardo B. Models for Project Management, June 2000.

Muharremoglu, Alp The Aircraft Sequencing Problem with Arrivals and Departures, February 2000.

Sursock, Jean-Paul The Cross Section of Expected Stock Returns Revisited, June 2000.

Bratu, Stephane Network Value Concept in Airline Revenue Management, February 1999. Lee, Pei Ting Dynamic Programming Model for Mortgage Refinancing Problem with Stochastic Interest Rates, June 1999.

Lohatepanont, Manoj Incremental Airline Schedule Design, February 1999.

Marandon, Eric The Hermite Black-Scholes Formula: Relating Option Prices to Moments of the Underlying Asset, June 1999.

Taneja, Hemant A Tactical Planning Model for a Semiconductor Wafer Fabrication Facility, June 1999.

Tziligakis, Constantine N. Relaxation and Exact Algorithms for Solving Mixed Integer-Quadratic Optimization, September 1999.

Wike, Carl E. Supply Chain Optimization: Formulations and Algorithms, February 1999.

Al-kibsi, Gassan Ahmed Optimal Product Assortment for Consumer Packaged Goods Retailers, June 1998.

Cervantes, Jose A. Effective Modeling of Throughput in Semiconductor Assembly Processes, February 1998.

Chew, Elaine Multiperiod Portfolio Optimization: Feynman Diagrams and Approximate Dynamic Programming, June 1998.

Coop, Andrew E. Contingency Munitions Logistics Planning and Control: A Framework for Analysis, June 1998.

Kassab, Hisham I. Scheduling in Packet Radio Networks, June 1998.

Krishnan, Niranjan Design of Large Scale Transportation Service Networks with Consolidation: Models, Algorithms and Applications, February 1998.

Lauprette, Geoffrey J. Some Aspects of the Optimal Grouping of Stocks, February 1998.

Liu, Wenyun Winning the Competitive Edge in the DRAM Market: A System Dynamics Analysis, February 1998.

Ouyang, Li An On-line Shopping Study, June 1998.

Rifkin, Ryan M. The Single Airport Static Stochastic Ground Holding Problem, June 1998.

Shanbhag, Vinayak V. Optimal Control Systems in Response to Diverse Electricty Pricing Structures, February 1998.

Tan, Too-Ping Extensions of the Minimum Cut Problem and Their Applications in Airfield Cutting, February 1998.

Bowman, Jeremy M. Analysis and Optimization of a Biotechnology Service Operation, June 1997.

Clarke, Michael Dudley Delano An Introduction to the Airline Recovery Problem, June 1997.

Guastalla, Guglielmo An Advanced Algorithm for Air Traffic Flow Management, June 1997.

Liao, Te-San Modeling and Cost Analysis of Global Logistics and Manufacturing System, June 1997.

Nemec, Joseph Edward A Quantity Scheduling Language for Manufacturing Systems, June 1997.

O’Dell, Susan W. Optimal Control Strategies for a Rail Transit Line, June 1997.

Sheel, Minakshi Probabilistic Analysis of Ground-Holding Strategies, February 1997.

Chopra, Sameer Efficient Scenario Evaluations Using the Nested Logit Model, June 1996.

Choy, Brenda P-T. Analyzing Total Distance in Vehicle Routing Problems, June 1996.

D’Amato, Rebecca M. Allocating Housing Resources for a Psychiatric Program, June 1996.

Escobar Fernandez de la Vega, Marcos Systematic Procedure to Meet Specific Input/Output Constraints in the l1-optimal Control Problem Design, June 1996.

Ma, Chien Models and Algorithms for a Stochastic One Machine Sequencing Problem, June 1996.

Sylla, Abdoul K. Portfolio Optimization Using Non-Gaussian Return Distributions, June 1996.

Wang, I-Lin Implementing the Premultiplier Method for Minimum-Cost Flow Problem, February 1996.

Willems, Sean P. Strategic Safety Stock Placement in Integrated Production/Distribution Systems, June 1996.

Young, Janice M. Decoding of a Markov Process with Imperfect State Information, June 1996.

Al-Othman, Abdulwahab N. Analysis of Vaidya’s Volumetric Cutting Plane Algorithm, September 1995.

Armacost, Andrew P. Modeling Railroad Terminal Operations: Supporting Real-Time Network Planning and Control, June 1995.

Chiu, Kenneth Generalized Gaussian Covariance Analysis in Multi-Market Risk Assessment, February 1995.

Chu, Michael Yi Xin Combining Heuristics and Integer Programming for Optimizing Job Shop Scheduling Models, February 1995.

Fournier, Renaud R. Analyzing Scanner Data for Manufacturing Planning, June 1995.

Giancola, Augusto Rafael Some Tools for Event Frequency Decomposition and Heterogeneous Transfer Line Analysis, June 1995.

Kostiner, Barry J. Spatial Market Equilibrium for Resistive Electric Networks, February 1995.

Lakshmi, Viswanathan Genetic Algorithms for Uncapacitated Network Design, February 1995.

Lee, Fung-Man Studies in Time Series Analysis and Forecasting of Energy Data ,June 1995.

Merrill, N’Gai A Multi-Period General Equilibrium Model of Long-Term Environmental Policy Using Overlapping Generations, June 1995.

Mori, Yutaka Demand for Interactive Television, February 1995.

Reiss, Stan Message Routing in Level 1 of the Wide-Band All-Optical Network ,June 1995.

Ying, Yee-Chien Calvin How Can Improved Weather Forecasting Accuracy Reduce Air Traffic Delays?, September 1995.

Ahn, Sungsu Construction and Implementation of Real-Time Scheduling Algorithms in a Computer Aided Fabrication Environment, February 1994.

Ansari, Mohsinuddin A Queueing Analysis of a Buffered Block-Selective S-ARQ Protocol, June 1994.

Brodsky, Valery Optimization Methods for Topological Design of Interconnected Ring Networks, February 1994.

Chu, Qin A Dynamic and Stochastic Model for Distribution of Empty Containers, June 1994.

Chu, Ronald W.Y. Finding a Cycle with Maximum Profit-to-Time Ration – An Application to Optimum Deployment of Containerships, June 1994.

Datta, Sougata CEPH Fingerprints and Their Analysis, June 1994.

Fang, Yue A Sequential Approach for Estimating Two-factor Interactions, June 1994.

Gopalakrishnan, Srimathy Optimization Models for Production Planning in Metal Sheet Manufacturing, February 1994.

Hauksson, Arni G. Management of the Marketing Mix, Using Models Based on Household Level Data, February 1994.

Hocker, Guy A. Airport Demand and Capacity Modeling for Flow Management Analysis, February 1994.

Humair, Salal An Approach to Solving Constraint Satisfaction Problems Using Asynchronous Teams of Autonomous Agents, September 1994.

Kaufman, Alan Data and Algorithms for Genomic Physical Mapping, September 1994.

Kuo, Yu-Ting Some Estimates of the Value of Software, June 1994.

Maragos, Spyridon A. Revenue Management for Ocean Carriers: Optimal Capacity Allocation with Multiple Nested Freight Rate Classes, June 1994.

Murti, Kamala P. Static and Dynamic Scheduling in a Two Station Mixed Queuing Network, June 1994.

Stamatopoulos, Miltiadis A. A Factory Representation as a Design Tool in a Computer Integrated Manufacturing Environment, June 1994.

Voigtlaender, Christian H. Intermodal Freight Transportation – An Integrated Analysis of Strategy and Operations, June 1994.

Zilberman, Yaron The Asset Allocator, February 1994.

Burman, Mitchell H. A Real-Time Dispatch Policy for a System Subject to Sequence-Dependent, Random Setup Times, February 1993.

Duarte, Maria Cristina Multiple Product Cycle Time Minimization for Serial Placement Machines, September 1993.

Goranson, Jesse Looking for Trouble: How Well the FAA’s Enhanced Traffic Management System Predicts Aircraft Congestion, September 1993.

Jeancard, Henri-Pierre Forecasting Capabilities and Model Diagnostics for Auto-Regressive Conditionally Heteroskedastic Time Series, February 1993.

López-Arteaga, Alfonso J. The Dynamic Traffic Assignment Problem in Intelligent Vehicle – Highway Systems, February 1993.

Malone, Kerry M. Modeling a Network of Queues Under Nonstationary and Stochastic Conditions, February 1993.

Mueller, Alexander T. Optimizing Advertisement Selections and Scheduling, February 1993.

Pinker, Edieal J. Computational Experience with a New Workforce-Workflow Scheduling Model, February 1993.

Rajan, Kavitha Analysis Of Heuristics For The Hierarchical Network Design Problem, June 1993.

Shumsky, Robert A. The Response of the U.S. Air Carriers to the DOT’s On-Time Disclosure Rule, June 1993.

Theodosopoulos, Theodore V. Worst-Case Identification in l1: Algorithms and Complexity, February 1993.

Thomke, Stefan H. Multivariate Quality Control of Flexible Manufacturing Processes, February 1993.

Vanderbeck, Francois A Decomposition Approach for Parallel Machine Assignment and Setup Minimization in Electronics Assembly, February 1993.

Vettas, Lt. Peter C. Cost and Productibility Optimization of Naval Ship Midship Section, June 1993.

Zaman, Zia A Scheduling Package Based on the QIE, February 1993.

Connolly, Stephanie A Real-Time Policy for Performing Setup Changes in a Manufacturing System, June 1992.

Elsesser, Kim The Validation of a Simulation Model for the Allocation of Mental Health Services February 1992.

Hsu, Lina Y. The Design of an Assembly Line with Stochastic Task Times, June 1992.

Longtin, Mark Sequential Screening in Semiconductor Manufacturing: Exploiting Spatial Dependence, June 1992.

Misra, Dipanwita (Diane) Compression and Retrieval of Network Routing Solutions, June 1992.

Park, Jai-Kue Consumer Choice Modeling in the Presence of Brand Extension, September 1992.

Ricard, Michael A Decomposition Approach to Zero-One Integer Programming, February 1992.

Robinson, Jonathan D. A Simulation Testbed for Flow Management in Air Traffic Control, September 1992.

Stanley, Timothy D. The Economic Status of American Causalities of the Vietnam War, June 1992.

Vives, Guillaume-Yves Real-Time Scheduling of an Assembly Stage in a Production Line, February 1992.

Vyas, Mary Pressley Specification of Gaussian Process Models for Asset Returns with Asynchronous or Missing Data, June 1992.

Anderson, Susan M. L. On Queue Audience: Calculating Reach and Frequency for Supermarket Television, June 1991.

Baldi, Martha A. An Analysis of Quality Control Policies on a Two-Station M/M/1 Production System, June 1991.

Bucciarelli, Mark Cluster Sampling Methods for Monitoring Route-Level Transit Ridership, September 1991.

Chen, Meng-Huai How Much Cash Should A Bank Maintain? – An Optimization Approach, September 1991.

Chi, Zhihang An Adaptive Final Approach Spacing Advisory System: Modeling, Analysis and Simulation, June 1991.

Ingolfsson, Armann Run by Run Process Control, September 1991.

Miller, Jennifer A. Spatial Interpretation and Statistical Modeling of Boston High School Dropouts, June 1991.

Milner, Joseph M. The Assembly Sequence Selection Problem: An Application of Simulated Annealing, June 1991.

Savari, Serap Source Coding for Channels with Finite-State Letter Costs, September 1991.

Schenler, Warren Robustness Under Uncertainty: A Normative Reduction of Multi-Future, Multi-Attribute Tradeoffs in Electric Utility Planning, February 1991.

Svrcek, Tom Modeling Airline Group Passenger Demand for Revenue Optimization, June 1991

Vranas, Peter B. Merchant Fleet Size versus External Trade and Other Relevant Variables: A Statistical Investigation, June 1991.

Yoshimura, Junichi Improved Service and Maintenance Through Accident Sequence Precursor Risk Analysis, June 1991.

Abundo, Stephanie F. An Approach for Estimating Delays at a Busy Airport, June 1990.

Chervi, Philippe A Computational Approach to Probabilistic Vehicle Routing Problems, February 1990.

Generazio, Hoa Analysis of First-Term Attrition of Non-Prior Service High-Quality U.S. Army Male Recruits, February 1990.

Horangic, Basil R. Some Queueing Models of Airport Delays, February 1990.

Jacobe de Haut de Sigy, Romuald Loading Control Policy for a Batch Machine, February 1990.

Kierszenbaum, Michael The Impact of Inspection Delays on Quality Contro,l June 1990.

Kurebayashi, Atsushi Comparison of Flow Shop Sequencing Models and Methods, June 1990.

Lemire, Linda Jill Due-Date Setting and Pricing in a M/M/1 First-Come First-Served Queue, June 1990.

Ramakrishnan, V. S. A LaGrange Multiplier Method for Solving Multi-Objective Linear Programs, September 1990.

Vieira, Luiz F. M. Computational Tests of Interior Point Algorithms for Linear Programming, June 1990.

Alston, Andrew – An Integrated System for Tracking of Landmarks on Video Data: TOMAS the Torsional Ocular Movement Analysis System, June 1989

Amblard, Guillaume P. – Rationale for the Use of Subassemblies in Production Systems: A Comparative Look at Sequential and Arborescent Systems, June 1989

Ballman, Karla V. – Screening U.S. Donated Blood for HIV, February 1989

Bespolka, Carl G. – A Framework for Multiple Attribute Evaluation in Electric Utility Planning, June 1989

Caulkins, Jonathan – Inventory And The Strategic Value of Product-Flexible Manufacturing Systems, February 1989

Dickey, Lynn – Where Should Safety Stock Be Held to Minimize Costs and Maximize Flexibility, June 1989

Fouska, Nikoletta – Optimal Location of Discretional Service Facilities on a Network, June 1989

Fujiwara, Tsuneo – Solving the Schedule Transition Problems Using Optimization Techniques, June 1989

Ingco, Divinagracia I. – Network Design Problems for Improving Facility Locations, June 1989

Lin Carrie – Analysis of Open Loop Manufacturing Systems, February 1989

Pappu, Suguna – A Dual-Ascent Algorithm for Finding an Assembly Test Strategy, September 1989

Schreibman, Ruth – Structural-Equation Modeling of the Sources of Market Pioneer Advantages: an Empirical Analysis of the Consumer Goods Industry, June 1989

Valdivieso, Teresa – Discrete Choice Analysis of Demand for Optional Telephone Calling Features, February 1989

Venkatakrishnan, C.S. – Sentencing Changes and Prison Population: The Transient Effects, February 1989

Badekas, Paris – Mathematical Modeling of En route of ATC Intervention Rates, June 1988

Berger, llana – Shipping Strategies in Multi modal Networks Exhibiting Economies, June 1988

Loiederman, Eric – A Planning Tool for Predicting En Route ATC Conflicts and Designing ATC Sectors, September 1988

Louvet-Boutant, Anne-Claire – The Bounded Rationality Constraint: Experimental and Analytical Results, June 1988

Mihara, Shoichiro – A Tactical Model for a Job Shop with Unreliable Work Stations and Capacity Constraints, February 1988

Polychronopoulos, George – Solution of Some Problems in Decentralized Detection by a Large Number of Sensors, June 1988

Sabanogulu Kohen, Jinet – The Economics of Product Design: A Model and An Application, June 1988

Saias, Isaac I. – Study of Probabilistic Noise in One Dimensional Images, June 1988

Srinivasan, K.V. (Cheena) – Effect of Consumer Categorization Behavior on New Product Sales Forecasting, June 1988

Sy-Quia, lll, Gonzalo – A Study of Production Loading in a Job Shop, September 1988

Aslidis, Anastasios Haralampos – Management of Technological Change in the Shipbuilding Industry: A Learning Curve Approach, June 1987

Bertsimas, Dimitris – An Analytic Approach to a General Class of G/G/s Queuing Systems, February, 1987

Chan, Ga-Yin (Leo) – INGRID: An Interactive Color Graphics Interface for Dispatch of Emergency Vehicles, June 1987

Emami, Kayvan – An Investigation of Time Dependent Queues with Priorities, September 1987

Emami, Neda – Analysis of Duality Constructions for Variable Dimension Fixed Point Algorithms, September 1987

Higgins, Mary-Kay – Airline Safety: A Comparative Analysis, February 1987

Lee, Anthony – Nested Decomposition Methods for Vehicle Routing and Scheduling, June 1987

Parrish, Scott H. – Extensions to a Model for Tactical Planning in a job Shop Environment, June 1987

Redfield, Carol Holmes – Equipment Selection and Task Assignment for Multi product Assembly System Design, February, 1987

Shell, Martin C. – Decision Horizons in Multi-Stage Optimization Models: An Analysis of Methods for the Minimization of End-of-Horizon Errors, February, 1987

Berman, Douglas – The Manned Space Station Power System: An Operational Scheduler, September 1986

Calamaro, Jean-Paul – Implementation of a Multistage Production Planning Systems, February 1986

Cheatham, John – Analyzing Service Industries with Applied Quantitative Methods, June 1986

Eckstein, Jonathan – Routing Methods for Twin-Trailer Trucks, June 1986

Huelskamp, Robert M. – Aiding USAF/UPT Aircrew Scheduling Using Network flow Models, June 1986

Kee, Jacqueline – Dispatch Strategies for Some Unusual Bulk Service Queues, June 1986

Marge, Charles – Explaining Optimal Solutions to Assignment and Transportation Problems, June 1986

Newton, Elizabeth A.C. – A Clustering Method for Group Viral Samples Based on Antibody Binding Activity, June 1986

Parekh, Abhay K.J. – Minimizing the Number of Clusters in Mobile Packet Radio Networks, February 1986

Schiodtz, Paul G. – Competitive Price, Position, and Advertising Strategies, June 1986

Wagner, Janet M. – Reliability of Water Distribution Systems, February 1986

Wan, Deborah – Locating New Facilities on a Multi activity, Multi-level Network, June 1986

Chapman, Paul T. – Optimal Production Capacity in a Two Stage Subject to Production Failure, February 1985

Cox, Jr. Louis A. – Risk Attribution in the Presence of Joint Causes, February, 1985

Hiller, Randall – Computer-Aided Planning: A Decision Support Concept for the Corporate Planning Domain, June 1985

Ho, Ping – The Application of the Cross Impact Analysis to Technological Change, September 1985

Lee, I-Jen – Stationary Markovian Queuing Systems: An Approximation for the Transient Expected Queue Length, June 1985

Richetta, Romano – Color Graphics for Interactive Optimization of the Hypercube Queuing Model, June 1985

Arcila Agudelo, Adriana – A Model to Provide Transportation Services for the Elderly and Handicapped, June 1984

Chen, Gloria Hiu-Lai – Information Theoretic Models of Preprocessors and Decision Aids, June 1984

Leong, Poh Leng – Multi attribute Queuing Theory, June 1984

Singhal, Vijay M. – Point-to-Point Package Delivery Systems, September 1984

Smith, Brian – Coordinated Air Defense, June 1984

Brewster, Silvano – Optimal Regulators Designed for Implementation on Computationally Limited Computers, February 1983

Magonet-Neray, Robin C. – Optimal Ship Positions for Naval Battle Group Defense Problems, September 1983

Puente-Angulo, Carlos E. – A Comparison of Linear and Nonlinear Random Field Estimators, June 1983

Roege, William – Pilot Scheduling in a Fighter Squadron, February 1983

Tsai, Christopher L. – Procurement Planning for Reusable Inventory Systems, September 1983

Bardenstein, Ruth – Optimization of Water Resource Projects with Renewable Resources and Multiple Energy Production: The Mediterranean Sea Project to Produce Hydroelectric and Soar Power, June 1982

Josa, Charles – An Heuristic Decision Procedure for a Precedence Constrained Single-Depot Vehicle Routing Problem, February 1982

O’Rourke, Paul F. – A Physically A Based Model of the Space conditioning Load Under Spot, February, 1982

Richardson, James – Regulating Automobile Insurance Residual Markets: A Policy for Controlling the Size of the Pool in Selected Risk Classes, June 1982

Schaack, Christian – Using the Kth Nearest Neighbor Clustering Procedure to Determine the Number of Subpopulations, June 1982

Ser, Shu – Analysis of Automatic Vehicle Location Systems Operating in Systems, June 1982

Guillamon-Duch, Higinio – The Economics of Low Temperature, Liquid-Dominated Hydrothermal Resources, February 1981

Morgan, Kelly B. – The Incorporation of Uncertainty in the Air Pollution Regulation Process, September 1981

Quek, Ser Aik – Diagnostics for Econometric Models, September 1981

Stabile, Debra – The Design of Information Structures: Basic Allocation Strategies for Organization, September 1981

Bendixen, Lisa – Probability Assessment: Issues of Implementation, September 1980

Brown, Richard – A Method for Sensitivity Analysis of L.P. Decomposition Equilibrium, with Application to the Copper Industry, February 1980

Habib, Frances – Investigating Convergence of a Capacity Planning Model Using Generalized Bender’s Decomposition, September 1980

Hook, Jack – Market Impacts of Price Regulation in Automobile Insurance, February 1980

Lamar, Bruce W. – Optimal Machine Selection and Task Assignment in An Assembly System Design Problem, September 1980

Oum, Jai Y. – Harmonic Transformations and Gradient Curves, September 1980

Perakis, Anastassions N. – A New Probabilistic Detection Model for Phase Random Ocean Acoustic Fluctuations and its Comparison with Data, February 1980

Shavel, Ira H. – A Dynamic Optimization Model for Studying the Transition from Depletable Resources to New Technologies, September 1979

Brandeau, Margaret L. – Decision Strategies for Interline Subway Control Systems, February 1978

Cozzi, Claudio – Simple Models for a Single Route Public Transportation System, June 1978

Golush, William G. – Probabilistic Models for Optimal Seismic Design, February 1978

Sadiq, Ghazala – Multifleet Routing Problems February 1978

Chen, Royee C. – Nuclear Reactor Rescheduling Study, February 1977

Sultan, Fareena – A Simulation Model of Population and Agricultural Growth in a Developing Country: A Case Study of Pakistan, June 1977

Tan, Chang-Bin – Port Capacity Modeling of GERT and Queuing Network Approaches, June 1977

Weilmuenster, David P. – Performance Characteristics of Signpost Automatic Vehicle Locating Systems, September 1977

Wexler, Jonathan W. – A Methodology for Configuring Distributed Real-Time microcomputer Systems, with Applications to Inertial Navigational Systems, June 1977

Aashtiani, Hedayat Z. – Solving Large Scale Network Optimization Problems by the Out-of-Kilter Method, February 1976

Assad, Arjang A. – Solution Techniques for the Muti-commodity Flow Problems, June 1976

Bloom, Jeremy A. – A Mathematical Model of Fuel Distribution in New England, February 1976

Dersin, Pierre L. – Sensitivity Analysis of Optimal Static Traffic Assignments in a Large Freeway Corridor, Using Modern Control Theory, September 1976

Franck, Evelyn A. – Implementing Closest Vehicle Dispatching Strategy on the Hypercube Model, February 1976

Laurent, Gilles – A Dynamic Analysis of the Housing Market in Paris, June 1976

Lim, Joseph A. Y. – The Effects of Socio-Eco-Demographic Factors and Family Planning Programs on Fertility, February 1976

Matsushita, Masaki – An Application of Benders Decomposition to Steel Production, February 1976

Talafuse, David W. – Blood Donor Attitudes and Decisions: An Exploratory Analysis, September 1976

Baldini, Vittorio A. – Operations Research Problem in the Motion Picture Industry, February 1975

Bitran, Gabriel R. – Duality and Sensitivity Analysis for Fractional Programs, June 1974

Facet, Tomas B. – Role of Partial Gradient Estimation by Simulation in Water Resource Plan Formulation, February 1975

Johns, Joseph H. – Intelligent Computer-Aided Dispatching for Urban Police Patrol Units, September 1975

Oswald, Louis J. – Preemption – A Visible Strategy?, September 1975

Asser, Sylvain E. T. – An Algorithm to Solve the Nth Shortest Path Problem, February 1974

Bodily, Samuel E. – The Utilization of Frozen Red Cells in Blood Banking System: A Decision Theoretic Approach, June 1974

Brinati, Marco A. – Analysis of the Queuing Process at an Offshore Export Terminal for Dry Bulk Cargo, September 1974

Carlton, Dennis W. – Modeling the Effects of the Housing Allowance Program, September 1974

DeChatillon, Renaud A. – Energy Use in the Steel Industry, June 1974

Emami, Kayvan – An Investigation of Time Dependent Queues with Priorities, September 1974

Falk, Patrick G. – An Optimal Replacement and Maintenance Strategy for Aircraft, June 1974

Finet, Jean-Marc P. L. – The Calibration of Nonlinear Models, June 1974

Golden, Bruce – A Minimum-Cost Multicommodity Network Flow Problem Concerning Imports and Exports, February 1974

Grimm, Ernst -A Study of the Effect of Advertising on Sales, September 1974

Ulrich, Lionel Y. – Heuristic Algorithms for Solving a Large Scale Multicommodity Flow Problem on a Network with a Step Function Cost, June 1974

Cruz-Bracho, Pedro Elias – A Preliminary Simulation Model of Factors Affecting the Nutritional and Health Status of Children in Low-Income Families, September 1973

Layrisse, Francisco Jose – Applications of Control Theory to Socioeconomic Systems, February 1973

Lingley, Gordon Steward – Analysis of Interoceanic Canal Alternatives: A System Approach to Decision Making, February 1973

Ovi, Alessandro – Decision Analysis Applied to Nuclear vs. Fossil Alternatives for Electric Energy Production, February 1973

Bell, David Edwin – A Utility Theory Approach to Preferences for Money Over Time, June 1972

Calvo, Alberto Bruno – Location of Health Services Facilities: A Mathematical Programming Approach, February 1972

Campbell, Gregory Lewis – A Spatially Distributed Queuing Model for Police Patrol Sector Design, June 1972

Gelerman, Walter – Airline Competitive Games and Airport Utilization, June 1972

Haan, Anders Henrik – A Screening Model for Water Resource Development: Stochastic Considerations, February 1972

Honda, William Fumio – Probabilistic Comparison of Automobile Insurance Rating Schemes, September 1972

Horgan, Dennis Neville, Jr. – A Decision Analysis of Sewage Sludge Disposal Alternatives for Boston Harbor, September 1972

Huang, Alexander Kuang Yu – A Market Response Model for New Consumer Durables, June 1972

Weymuller, Stanislas Bruno – Duality Theory and Economic Analysis, June 1972

Carlson, William Edwin – Scheduling Vehicles on Grid Networks of Automated Guideways, June 1971

Crousillat-Velasco, Cesar Oreste – Design Considerations for Airport Landing Systems, June 1971

Kanal, Prakash Mulchand – A Mathematical Model for a Cash Collection System, June 1971

Ketchledge, Bruce Arthur – Optimal Bounded Control of Stochastic Production/Inventory Systems, September 1971

Rosenfield, Donald Barry – Effects of Refractoriness in Hearing Models, February 1971

Shapiro, Roy David – Interlaced Scheduling of Transmit-Receive Pulses, February 1971

Ting, Harold Montford – Aggregation of Attributes for Multi attributed Utility Assessment, June 1971

Howard, Daniel Dale – Dynamic Location-Allocation Analysis, September 1970

McDonald, Jarl W. – The Effects of Free Capacity Transportation Networks on the Distribution of Travel Time and Traffic: A Computer Simulation, June 1970

Robinson, William Owen – Multivariate Probability Assessment, September 1970

Operations Management PhD Specialization

General information.

The Department of Information Systems & Operations Management (ISOM) supports two areas for doctoral study: Information Systems (IS) and Operations Management (OM). Both areas are designed for persons seeking academic and research careers.

The Operations Management area deals with the functional parts of an organization that produce goods and services. The curriculum in Operations Management focuses on the many changes that have occurred in recent years in the way that managers think, plan, and operate supply chains involving manufacturing and service activities. These changes have been driven by dramatic improvements in information technology, the growth and increasing accessibility of global markets, and the necessity to adapt to more sophisticated and quality conscious consumers.

Department Web Site Operations Management Faculty

Admission Requirements

Applicants must have completed an undergraduate degree at an accredited university and should have a reasonable training in mathematics and economics. An admission committee of faculty members in the Information Systems and Operations Management Department reviews all completed applications. While the committee considers all relevant factors in its recommendations, important factors include past academic performance, GMAT scores (which are usually above 650 for successful applicants), and previous work experience. The GRE exam can be substituted for the GMAT but the GMAT is strongly preferred. In some cases we may request a personal interview.

Recommended Preparation Prior to Entry

It is assumed that students entering the operations management area are knowledgeable in advanced calculus, linear algebra, basic statistics, and a high level programming language. Any student who is deficient in these areas should consider taking appropriate courses prior to entering the program.

Operations Management Area Faculty Coordinator

Prof. Apurva Jain, Operations Management Area Faculty Coordinator, would be glad to answer your questions. Contact him by phone at 206-685-4970 or by email at [email protected] .

Student Advising

The Department’s Doctoral Review Committee will guide new students until they establish a supervisory committee. Students are required to establish a supervisory committee by the end of their first year. The supervisory committee assists the student in choosing appropriate courses, approves course of studies, and monitors the student’s progress.

Course Requirements for Operations Management Major

The following courses are required of all OM majors. The number of credits for each course is indicated in parentheses after the course number.

Course Number	Catalog Title
OPMGT 502 (4)	Introduction to Operations Management
OPMGT 587 (4)	Topics in Inventory Management
QMETH 580 (4)	Mathematical Programming
QMETH 592 (4)	Stochastic Models: Queuing and Simulation
OPMGT 590 (4)	Stochastic Models for Research in Business and Management
OPMGT 599 (1,1,1)	Doctoral Seminar
IS 580 (4)	Advanced Research Topics in Information Systems I

All OM students must enroll in the doctoral seminar (OPMGT 599) until all coursework is completed and the OM area examination is successfully completed; after completing this milestone, we strongly encourage all students to continue participating in the doctoral seminar.

Before the area exam, all students are also required to take at least two of the courses in the OM research course sequence, listed below. After the area exam, we strongly encourage all students to continue taking the rest of the courses in the sequence.

OPMGT 581 (4)	Advanced Research Topics in Operations Management I
OPMGT 582 (4)	Advanced Research Topics in Operations Management II
OPMGT 583 (4)	Advanced Research Topics in Operations Management III
OPMGT 584 (4)	Foundations of Operations Management Research

Research Methods Minor Area Requirements

All students majoring in Operations Management must select Research Methods as one of their minor areas. The Research Methods area is designed to insure that all students are knowledgeable with research tools needed to conduct high-level research in Operations Management. All students must obtain a minimum of 12 credits in a specialization field to satisfy for the minor requirement.

The requirements listed below are viewed as minimal preparation for conducting doctoral level research; we strongly recommend that students expand their research methods area beyond the courses listed below. Certain substitutions of courses, upon approval from the chair of the supervisory committee may be allowed.

Microeconomics

BA 580 (4)	Problems in Microeconomics
ECON 500 (4)	Microeconomic Analysis I
ECON 501 (4)	Microeconomic Analysis II
ECON 508 (4)	Microeconomic Analysis III

Optimization / Mathematical Programming

MATH 514 (3)	Networks and Combinatorial Optimization
IND E 411 (4)	Stochastic Models and Decision Analysis
IND E 412 (4)	Integer and Dynamic Programming

Probability Theory / Stochastic Processes / Queuing / Simulation

STAT 394 (3)	Probability Theory I
STAT 395 (3)	Probability Theory II
STAT 491 (3)	Introduction to Stochastic Processes
IND E 508 (3)	Stochastic Processes in Engineering

Statistical Analysis / Inference

STAT 481 (5)	Mathematical Statistics
STAT 512 (4)	Statistical Inference

Other Suggested Courses

STAT 503 (4)	Practical Methods for Data Analysis
STAT 513 (4)	Statistical Inference
STAT 542 (3)	Multivariate Analysis

Other Minor Area Requirements

In addition to Research Methods, OM students must select one additional minor area depending on his or her interest. Possible minor areas include:

Administrative Behavior and Organizational Theory Business Policy Economics Health Services Industrial Engineering Information Systems Statistics

Typical Course Schedule


OPMGT 590 Stochastic Models for Research in Business and Management	QMETH 592 Queuing and Simulation	OPMGT 502 Operations Management	BA 580 Problems in Microeconomics
Teaching Effectiveness Seminar	OPMGT 581/582/583/584 Research course (rotating)	ECON 508 Microeconomics III	Internship / Independent Research
ECON 500 Microeconomics I	ECON 501 Microeconomics II	Elective	Summer paper (due by 9/30)
QMETH 580 Math Programming
OPMGT 599 Doctoral Seminar

Second Year


OPMGT 587 Inventory Management	OPMGT 581/582/583/584 Research course (rotating)	Elective	Area Exam
Elective	IS 580 Advanced Research Topics in Information Systems I	Elective
Elective	Elective	Elective
OPMGT 599 Doctoral Seminar	OPMGT 599 Doctoral Seminar	OPMGT 599 Doctoral Seminar

Course Requirements for Operations Management Minor

Doctoral students who select Operations Management as a minor area are required to take a minimum of three courses from the following list.

OPMGT 502 (4)	Introduction to Operations Management
OPMGT 587 (4)	Topics in Inventory Management
OPMGT 581 (4)	Advanced Research Topics in Operations Management I
OPMGT 582 (4)	Advanced Research Topics in Operations Management II
OPMGT 583 (4)	Advanced Research Topics in Operations Management III
OPMGT 584 (4)	Foundations of Operations Management Research

Other Operations Management Requirements

Written Area Examination In the summer of the second year, after completing all coursework in his or her major area, each student will take a written area examination consisting of questions contributed by a number of appropriate area faculty and administered by the chair of the student’s Supervisory Committee. The grade for the exam will be one of the following: pass for doctoral degree, fail for doctoral degree but pass for master’s degree, fail. If appropriate, the departmental faculty members in the Supervisory Committee may require additional work and/or classes as a condition of passing the examination. If the student fails the examination, he or she can take the examination one additional time after satisfying deficiencies.

Summer Research Paper In order to demonstrate competency and ability to conduct research in OM, each student is required to write a research paper in the summer of the first year or the second year. The work is to be supervised and graded by the chair of the student’s Supervisory Committee (if one has not been formed, then an appropriate departmental faculty member) in the student’s Supervisory Committee on a pass or fail basis. The departmental faculty members in the Supervisory Committee may require additional work as a condition for passing the paper.

General Examination After successfully completing the written area exam, each student takes a general (oral) examination. Members of the Supervisory Committee administer this examination. Typically, this examination involves a defense of the student’s dissertation proposal; however, the chair of the Supervisory Committee determines the precise format of the general examination.

Dissertation After successfully completing the general examination, the student is admitted to candidacy and continues work on his/her dissertation research. A Reading Committee guides the student in working with the dissertation. It is also expected that the student will present their research to the Information Systems and Operations Management Department at the doctoral seminar.

Final Examination When the dissertation is completed, the Supervisory Committee administers a final defense or final examination.

PhD | Operations Management

Operations Management

The ph.d. in operations management.

Stern's Operations Management (OM) group works on problems in managing operations in today’s economy. OM research at Stern uses a combination of analytical, empirical, and theory-building methodologies to understand how to design contracts and quality systems for the management of decentralized supply chains; best practices in retailing; revenue management applications; health care operations; call center management; task and workforce scheduling; Internet business models and strategies; and how to forecast new product sales. Research topics are drawn from several disciplines, including operations research, management and organizational behavior, economics and information systems, and banking and finance.

Explore Operations Management

Discover our other fields of study.

Our websites may use cookies to personalize and enhance your experience. By continuing without changing your cookie settings, you agree to this collection. For more information, please see our University Websites Privacy Notice .

School of Business

PhD in Business

Frequently Asked Questions
Research Topics
Student Speaker Series
Funding Resources
Research News
Ph.D. in Business Office
Faculty Directory
Ph.D. Students Directory
Accounting Overview
Research Activities
Ph.D. Students
Finance Overview

Management & Entrepreneurship

M&E Overview
Job Market Candidates
Marketing Overview

Operations & Information Management

OPIM Overview
Departmental Research Workshops/Colloquia
General Exam
Major Advisor and Advisory Committee
Plan of Study
Qualifying Research Paper
Teacher Development Policy
Time Limits

Dissertation

Dissertation Proposal
Dissertation Defense
University Information
University Specifications
Request Information
Admissions FAQ
Visiting Scholars
Visiting Student Scholars

Online Application

Application Instructions
Start a New Application
Continue Your Application

Quick Links

Academic Standards
Business Ph.D. Student Travel and Funding Request – Department Approval Form
Search this Site Search in https://phd.business.uconn.edu/> Search
Graduate Programs
Areas of Study

Operations and Information Management

PhD Coordinator: Jing Peng [email protected]

Mission: To prepare students to conduct high quality, state-of-the-art research, and to assume faculty positions at leading institutions in the areas of Information Systems and Operations Management.

The Operations and Information Management (OPIM) Ph.D. Program at UConn provides its students with the training necessary to conduct cutting-edge research in the broad areas of Management Information Systems (MIS) and Operations Management (OM). Students are guided through a curriculum that combines the research methods of Economics, Computer Science, Operations Management, Operations Research, and Statistics, with an emphasis on the scientific management of real businesses.

After completing their coursework and qualifying examinations, our Ph.D. students engage in original research that focuses on emerging technologies and algorithms, and their effects on businesses and the economy. Recent graduates have successfully defended dissertations with topics including: markets for distributed computing, online commerce, healthcare decision support, and measuring and managing the influence of “blogs.”

The OPIM department is unique in its wide range of interests and highly collaborative research environment. Students can work with professors on a research topic from the following list, or develop a related research topic in their own area of interest.

Learn More About the OPIM Department

Xinxin Li Professor, OPIM; Treibick Family Chair in Business Ph.D., The Wharton School, University of Pennsylvania

Research topics

Auction theory and applications
Database design and security
Database management
Distributed computing and client/server technology
Electronic commerce
Economics of information and information systems
Healthcare information systems
Management of technology
Manufacturing systems, planning and strategy
Supply chain management

Graduates have accepted faculty positions at Arizona State University, California Polytechnic State University, SUNY-Albany, SUNY-Buffalo, Northeastern University, and the Universities of Kansas, Maine, Texas, Utah, and Washington, as well as other major academic institutions.

OPIM PhD Faculty

Miao Bai Assistant Professor PhD, Lehigh University Research Interests: leveraging mathematical optimization, data analytics, and machine learning to develop effective and efficient solutions for complex problems arising in healthcare systems and medicine, including capacity and access management, real-time hospital operations management and medical decision making

David Bergman Associate Professor PhD, Carnegie Mellon University Research Interests: decision diagrams, discrete optimization, integer programming, integration of optimization techniques

Sudip Bhattacharjee Professor, Chief of the Center for Big Data Research–US Census Bureau PhD, State University of New York at Buffalo Research Interests: data analytics in IT and operations, energy informatics, economics of digital goods and intellectual property rights, information systems economics, sustainable supply chains, process modeling and system dynamics

Carlos Cardonha Assistant Professor PhD, Technische Universitat Berlin Research Interests: operations research, discrete optimization, integer programming, computational complexity, approximation algorithms, online algorithms, revenue management (assortment optimization)

Wei Chen Associate Professor PhD, University of California, San Diego Research Interests: platforms, crowds, and financial technologies. Current research projects focus on home-sharing platforms, real estate markets, and crypto markets

Jose M. Cruz Associate Professor and Associate Dean of Graduate Studies PhD, University of Massachusetts, Amherst Research Interests: supply chain management, corporate social responsibility & sustainability, networks economics, systems dynamics, project management, business analytics

Robert Day Professor PhD, University of Maryland Research Interests: combinatorial auctions, optimization and auction theory, auction software development, matching and allocation problems, decision analysis, expected utility theory, network optimization, game theory and operations research, theory of computational complexity, and healthcare management

Moustapha Diaby Associate Professor PhD, State University of New York at Buffalo Research Interests: mathematical programming, manufacturing systems modeling and analysis, operations and supply chain management

Cuihong Li Professor and Department Head PhD, Carnegie Mellon University Research Interests: operations management, supply chain management, procurement and sourcing, incentives and mechanism design

Xinxin Li Treibick Family Chair Professor and MSBAPM Academic Director PhD, University of Pennsylvania Research Interests: online word of mouth; social media, digital platforms, economics of information systems, information systems and marketing, pricing and competitive strategies

Chen Liang Assistant Professor PhD, Arizona State University Research Interests: gig economy, platform economy, bias and discrimination, and artificial intelligence

Bowen Lou Assistant Professor PhD, University of Pennsylvania Research interests: economics of digitization and technologies, innovation, future of work, computational social science, econometrics, machine learning, natural language processing, network science

Tao Lu Assistant Professor PhD, Hong Kong University of Science and Technology Research interests: supply chain management, transport logistics, sharing economy and socially responsible operations

Manuel Nunez Associate Professor PhD, Massachusetts Institute of Technology Research Interests: operations research, statistical modeling and simulation, analytics and business intelligence, computer programming and data structures, genetic algorithms, security and confidentiality in database systems, operations management and manufacturing, supply chain management, convex optimization, stochastic models

Jing Peng Assistant Professor PhD, University of Pennsylvania Research Interests: econometrics, Ecommerce, social media, gig economy, digital health

Ramesh Shankar Associate Professor PhD, NYU Research Interest: pricing and licensing of software and digital goods, environmental impact of durable goods, online user behavior using research methods such as game theory, industrial organization economics, experimental methods, econometrics

Jaeung Sim PhD, KAIST Research Interests: information and decisions, online platforms, digital marketing, energy economics, econometrics, field experiments

Jan Stallaert Professor PhD, UCLA Research Interest: information systems, eCommerce, electronic auctions, mathematical programming and applications, information technology

Lakshman Thakur Associate Professor Eng.Sc.D., Columbia University Research Interest: development and applications of linear, nonlinear, and integer programming methods in management science and function approximations in optimization mathematics

Alex Tung Associate Professor PhD, University of Kentucky Research Interest: innovations in e-markets

Karen Xie Associate Professor, OPIM Department PhD, Temple University Research Interests: platform economics, market design, housing markets, finTech

Fasheng Xu Assistant Professor PhD, Washington University in St. Louis Research Interests: blockchain, fintech, supply chain finance, digital platforms, and economics of data and privacy

Quick Facts OPIM

Program Entry

Length of Program

Number of Alumni

Placement at Research University (Past 5 years)

UMass Lowell, Florida Atlantic, Texas State, Texas Tech

Percentage Women

Competitive Graduate Assistantships

Tuition Waiver, Stipend, Subsidized Health Insurance

Summer Fellowships

Competitive

Conference Travel Support

Enrollment Profile OPIM (Fall 2023)

Total Applications

Total Enrolled

GMAT (3-year enrolled student average)

GRE Q (3-year enrolled student average)

Graduate GPA (3-year enrolled student average)

Undergraduate GPA (3-year enrolled student average)

Apply Online

grad.business.uconn.edu/apply

Business PhD applications are accepted from September until the fall cohort is complete.

Daytime MBA

Leaders who bring out the best in others.

Operations Management: Curriculum

Curriculum - operations management phd.

The operations management curriculum is designed to develop a strong foundation in operations management, operations research, economics, and mathematics.

Coursework is tailored to each student's background and interests and typically extends over 2 to 2.5 years. Some of the courses may be offered by different departments at Duke University and even neighboring universities, such as the University of North Carolina at Chapel Hill (UNC) and North Carolina State University (NCSU). Travel is required when taking courses on other campuses; the other campuses are about 30 minutes from Duke.

In the first year, students often take graduate-level courses in operations research, economics, and mathematics. Every first year student must audit the Operations Management core course taught in the daytime MBA program in the spring semester. Students are required to choose one of the sections of the core to sit in, inform the corresponding instructor, and attend all class sessions.

In the second year, the coursework often extends to advanced courses in operations research and economics, doctoral seminars, and elective courses offered by other areas in the school. Coursework may extend to the first semester of the third year, depending on the relevance of the work to the student’s intended dissertation topic(s).

Students are expected to maintain a cumulative grade point average of 3.0 throughout their PhD. A student who receives an “F” or does not attain a 3.0 average by the end of the first year may be subject to dismissal.

Fuqua OM Course: There is typically one PhD course offered by Fuqua OM faculty each semester. The faculty teaching this course and the content vary from year to year. In the first and second years of the PhD program, students should take all Fuqua OM courses that are offered.

Required Courses: In the first year of the doctoral program, it is important to build a strong background in the tools and research methodologies commonly used in the field of operations management. As such, in addition to the offered Fuqua OM courses, students are required to take at least one course in each of the following categories:

Linear Programming (e.g., STOR614 Linear Programming at UNC)
Advanced Optimization (e.g., BA911 Convex Optimization or BA912 Dynamic Programming)
Microeconomics (e.g., ECON701 Microeconomic Analysis I)
Stochastic Models (e.g., BA915 Stochastic Models)

These requirements are flexible and could be filled by many different courses; the course numbers listed above are merely examples of satisfactory options. Students should consult with the doctoral coordinator to discuss whether a particular course satisfies the requirement. If a course or topic is not offered in a given year, the doctoral coordinator may change the requirements. If a first year student has achieved an A in a master’s level or higher course in a particular topic, they may take a more advanced course or be exempted from the requirement at the doctoral coordinator’s discretion.

Elective Courses: Students in the OM doctoral program frequently take electives in decision sciences, economics, econometrics, marketing, and statistics. Electives should be tailored to the student’s research interests in consultation with the student’s advisor.

In addition, students who do not have a strong undergraduate background in probability and statistics are encouraged to take such courses as a part of their doctoral coursework.

Qualifying Exam

The qualifying examination in operations management consists of two components: a written examination and a summer literature review project.

In the second year, a written examination covering the topics in the required courses will be administered. Students who achieve excellent performance in required courses may, at the discretion of the doctoral committee, be exempted from the exam. To be considered for exemption a student must:

Achieve a combined GPA of 3.5 or higher in required courses.
Receive no more than one B grade (or equivalent to a 3.0 grade point score), and no grade lower than a B (3.0 grade point), in required courses.

Students who do not meet the above criteria will be automatically required to take a written qualifying exam; however, even students who meet the above criteria may be asked to take an exam if the committee concludes that there is not sufficient evidence of exemplary technical ability. Specifically, the doctoral committee will review the performance of students eligible for exemption at the end of the first academic year, and will decide whether to exempt each student, have them take the written exam, or defer the decision until a future term after additional coursework has been completed. Students who are not exempted will, in most cases, take the exam in the spring semester of their second year.

The exam will cover some subset of the topics covered in the required courses, possibly including material from linear programming, advanced optimization, microeconomics, stochastic models, and the Fuqua OM course material; the precise topics are determined by the OM faculty in response to the needs of each particular student, and the students taking the exam will be notified in advance of the subjects to be covered. Satisfactory performance on the written exam is required; poor performance may lead the faculty to require additional coursework, to retake the exam, or to depart the program.

In addition, at the end of the first summer, the student will submit a detailed literature review of a proposed research topic. The review must be at least 10 pages in length (double spaced, 12 point font), and should include the history of developments in the proposed area of study, recent advances on the topic, and a preliminary proposal of interesting research opportunities on the topic. The literature review will be completed under the supervision of a faculty member chosen by the student at the start of the summer.

A brief proposal (no more than two pages) for this literature review is submitted to the doctoral coordinator at the end of the spring semester of the first year; see the Expectations section for more information on this proposal. The literature review itself will be read by the doctoral committee, who will offer comments on the quality of the review as well as the potential of the research opportunities identified in the review. The doctoral committee will also review the student’s first year course grades, paying particular attention to essential courses in operations management, and the student’s performance on the written examination (if applicable), to assess the student’s overall performance in the doctoral program.

Teaching Assistantships

The program aims to provide students with teaching experience. This is done mainly by assigning students as teaching assistants to the operations faculty. All students serve as teaching assistants regularly beginning in their second year in the program, typically for 1-2 courses per year. Throughout this process, students learn how to design a course, write a syllabus, prepare homework and exam questions and grade them, give lectures, conduct class discussions and assign grades. Each summer, the doctoral coordinator, in consultation with the OM faculty, will assign TA positions to each student.

Preliminary Examination

The official preliminary examination in the OM doctoral program takes place at the start of the third year. At this time, the student will submit a completed research paper that is, at minimum, 25 pages in length (double spaced, 12 point font). This paper should be written in a style suitable for submission to a journal (i.e., with an introduction, literature review, model and analysis, and conclusion). The paper should be completed under the supervision of a faculty member chosen by the student, and need not be a continuation of the literature review submitted the previous year (although we expect that most students will continue with the same topic).

A brief proposal (no more than two pages) for this research paper is submitted to the doctoral coordinator at the end of the spring semester of the second year; see the Expectations section for more information on this proposal. The student will present the completed paper in front of a committee of four faculty members, consisting of the OM doctoral coordinator, the student’s advisor, one additional OM faculty member, and one faculty member from outside the OM area. The committee will offer comments on the quality of the work as well as the potential of the research to be published in a top journal. In addition, they will review the student’s second year course grades, paying particular attention to essential courses in operations management, and assess the student’s overall performance in the doctoral program, taking all of this information into account when determining whether the student passes the preliminary examination.

If the committee determines that the student has not shown sufficient potential to succeed in research based on the student’s grades and the research project, they may give the student a failing grade on the preliminary examination, ask the student to take additional courses, or ask the student to repeat the requirement by the end of the student’s third year in the doctoral program (i.e., to submit a revised paper and make a second presentation). To proceed to the dissertation phase of the doctoral program, the student must successfully pass this preliminary examination once.

Dissertation Proposal

The dissertation proposal is a comprehensive presentation of the student’s existing work toward his or her dissertation, as well as a proposal of the remaining steps to complete the dissertation, and is typically made in the student’s fourth year. At this stage, faculty assess whether the student has shown satisfactory progress toward completing the dissertation and whether the topic of the dissertation shows sufficient promise. Faculty may make suggestions for improvement in the dissertation topic or methods during this stage.

Dissertation Defense

The dissertation defense (also known as the “final examination”) is a comprehensive presentation of the student’s dissertation, typically made in the spring of the student’s fifth year. At this stage, faculty assess whether the student has shown sufficient mastery of methodology and research to submit their dissertation and be granted a PhD from Duke University. The final examination and subsequent submission of the dissertation are the final stages in the doctoral program.

Sample Program Schedule

The Operations Management program typically follows this structure:

Fall	Spring	Summer
Coursework	Coursework	Research

Fall

Spring

Summer

Coursework

Research Exploration

Teaching Assistantship

Qualifying Exam*

Coursework

Research Exploration

Teaching Assistantship

Research

Fall

Spring

Summer

Coursework (Optional)

Research

Teaching Assistantship

Preliminary Exam*

Coursework (Optional)

Research

Teaching Assistantship

Research

Fall

Spring

Summer

Research

Teaching Assistantship

Dissertation Proposal*

Research

Teaching Assistantship

Research

Fall

Spring

Summer

Research

Teaching Assistantship

Research

Teaching Assistantship

Dissertation Defense*

Asterisks indicate key milestones (qualifying and preliminary exams, dissertation proposal and defense).

Operations Management

Operations Management focuses on designing and managing value-added processes across various organizations involved in supplying goods or providing services to meet end consumer needs. Using methodologies from economics, statistics, machine learning, and more, you will focus on the production and distribution of goods, services, and information to understand how companies achieve competitive advantages.

Microeconomics
Econometrics
Optimization
Stochastic processes

Disciplinary courses in:

Mathematics
Industrial engineering
Computer science
Electrical engineering

Proseminars:

IOSA Speaker Series featuring globally renowned researchers
Teaching and professional development
Youngsoo Kim, University of Alabama
Karthik Murali, Oregon State University
Anqi Wu, Florida International University
Wenxin Xu, University of South Carolina
Florida International University
Hong Kong Polytechnic University
University of Alabama

Business Instruction Facility at University of Illinois

Areas of Faculty Research

Continuous improvement
Data analytics
Data-driven decision-making
Decision analysis
Empirical supply chain management
Healthcare operations
Human interaction in operations decisions
Industrial organization
K-12 education operations
Operations strategy
Service operations
Socially responsible supply chain
Stochastic dynamic games
Stochastic modeling and applications in queueing systems
Supply chain analytics
Supply chain management and revenue management

Highlights of Faculty-Student Collaboration

Y. Kim, H.D. Kwon (2022) Investment in the Common Good: Free Rider Effect and the Stability of Mixed Strategy Equilibria . Operations Research , https://doi.org/10.1287/opre.2022.2371
G. Georgiadis, Y. Kim, H.D. Kwon (2022) The Absence of Attrition in a War of Attrition under Complete Information . Games and Economic Behavior , 131, 171-185
X. Song, M. Mehrotra, T. Rajapakshe (2022) An Analysis of Incentive Schemes for Participant Retention in Clinical Studies . Manufacturing and Service Operations Management , Forthcoming.

Recent Publication Outlets

Journal of Operations Management
Management Science
Manufacturing & Service Operations Management
Operations Research
Production and Operations Management

Faculty Editorial Boards

Naval Research Logistics
Decision Analysis

Recent Faculty Awards & Leadership Positions

M&SOM Award, 2022
Finalist at INFORMS BOM Best Working Paper Competition, 2022
3rd Place, POMS CHOM Best Paper Competition, 2022

Gopesh Anand

Best Paper Award, Illinois Strategic Organizations Initiative, 2021

Hear from PhD students and alumni

"I feel grateful for how all Gies faculty members work as one team supporting our career goals. I also enjoy the diversified, interdisciplinary culture in the doctoral program that inspires new discussions on what business defines."

Xueze Song, Current PhD Student

"My years as a PhD student at Gies College of Business have not only trained me into a researcher but also provided me the most rewarding academic journey. The program's academic excellence, its rigorous and systematic training, and the endless help, support, and trust from the faculty all made this journey profound and enjoyable. I have no longer thought of it as a PhD program. Rather, it has been part of my identity of who I am."

Anqi Wu, PhD ’20 Assistant Professor, Florida International University

Operations Management

Effective solutions for complex business problems..

The operations of a firm involve acquiring productive resources and the configuration of a productive system, then utilizing them to produce goods and services. The decisions at every level are complex. Operations Management helps to deliver solutions for even the most challenging business decision.

Making tough business decisions demands both realistic modeling of these decision problems and knowledge of the development of new theory and techniques. Our program stresses a balanced approach to the subject while familiarizing you with the latest methodologies. Students are expected to understand the real context within which operational decisions are made, and to develop skills in modeling these problems. The emphasis is on the study of complex, large- scale systems needing integrated solutions.

Meet Ops Mgmt Faculty

Prepare with Math Camp.

Program outline: operations management, the first year.

The first year is designed to provide you with solid training in mathematical programming and probabilistic modeling. You’ll also build your analytic and research skills while exploring basic issues faced by operations mangers. Students are expected to achieve an A- or better in five required courses, and achieve a B+ in all other courses; this serves as the Preliminary Requirement. Students will begin pursuing research during the summer of their first year, choosing two research questions by the end of the spring term. By August 31, students should deliver initial drafts of the papers addressing these questions. The initial drafts will be evaluated and successful completion of the initial drafts requirement will constitute passing the First-Year Paper.

The Second Year

The second year is novel for doctoral programs in operations management. Students work on two individual research topics in conjunction with the faculty. These papers provide the bridge from class work to research. These papers are due by May 31 of the second year, successful completion of this paper constitutes passing the Second Year Papers in Operations Management. In addition, students will gain depth in the Operations Management courses and seminars. Students are also required to write a Qualifying Exam paper, due by November 30 of the third year. This paper is usually a more in-depth version of one of the papers used for the second-year papers.

The Third Year and Beyond

Students continue to take PhD seminars in OMG and should complete all the minor requirements. The students must work with faculty advisors to determine additional courses that might be beneficial to their training.

Students are expected to submit a Thesis proposal paper along with a faculty advisor and committee that has agreed to serve on the dissertation committee. During the process of writing the thesis, the student has to provide evidence of being able to do independent research. Generally, a solo authored dissertation chapter (other than introductory or literature review chapters) is considered sufficient evidence of this. The exact form and timing of this proposal is defined by the area requirements

This is achieved after passing the Preliminary and Qualifying Exams. At the conclusion of the qualifying exam, the faculty administering the qualifying exam evaluate the student and through that evaluation make a recommendation to the PhD Faculty Director and Senior Associate Dean of Faculty that the student advance to candidacy.

Required Courses.

The Course Catalog contains degree requirements and course descriptions. Please refer the Simon Registrar's website for the current Course Catalog. Classes occur in the Simon Business School and also in closely related areas including the University of Rochester Economics Department and the Computer Science Department.

Simon Registrar

Course Catalog

PhD Operations Management Courses

The course provides an introduction to stochastic processes. Topics include the Poisson process, renewal theory, Markov chains, semi-Markov and Markov renewal processes, and regenerative processes.

This course will study advanced topics in stochastic processes, with emphasis on problem modeling and computation. The following topics will be covered: models using discrete time Markov chains, optimal stopping and discrete time Markov chains, models using continuous time Markov chains, Markov decision processes for discrete time Markov chains, and if time permits, diffusion processes/martingales.

This course introduces students to research areas in Computers and Information Systems (CIS) and Operations Management (OM). Multiple lectures will be dedicated to each topic, covering the necessary mathematical background, primary analysis techniques, and important, seminal, or recent papers within each area. The course aims to attain the following objectives: learn about what constitutes research in CIS and OM, develop critical thinking about academic papers, familiarize students with new research areas, provide opportunity to think about new research problems, and practice constructing and delivering academic talks.

This course introduces unconstrained and constrained optimization in finite dimensional spaces. Topics include convex sets and functions, Kuhn-Tucker theory, Lagrangian duality, parametric continuity, dynamic programming, and parametric monotonicity.

Prerequisite: Some knowledge of linear algebra and functions of a real variable

Prerequisite: Linear Algebra and functions of a real variable

Smart. Open. Grounded. Inventive. Read our Ideas Made to Matter.

Which program is right for you?

Through intellectual rigor and experiential learning, this full-time, two-year MBA program develops leaders who make a difference in the world.

A rigorous, hands-on program that prepares adaptive problem solvers for premier finance careers.

A 12-month program focused on applying the tools of modern data science, optimization and machine learning to solve real-world business problems.

Earn your MBA and SM in engineering with this transformative two-year program.

Combine an international MBA with a deep dive into management science. A special opportunity for partner and affiliate schools only.

A doctoral program that produces outstanding scholars who are leading in their fields of research.

Bring a business perspective to your technical and quantitative expertise with a bachelor’s degree in management, business analytics, or finance.

A joint program for mid-career professionals that integrates engineering and systems thinking. Earn your master’s degree in engineering and management.

An interdisciplinary program that combines engineering, management, and design, leading to a master’s degree in engineering and management.

Executive Programs

A full-time MBA program for mid-career leaders eager to dedicate one year of discovery for a lifetime of impact.

This 20-month MBA program equips experienced executives to enhance their impact on their organizations and the world.

Non-degree programs for senior executives and high-potential managers.

A non-degree, customizable program for mid-career professionals.

Operations Management

Ideas and insights about operations management from MIT Sloan.

Companies that submit to an audit initially see emissions rise

Kara Baskin

Organizations that opt to verify emissions via third-party auditors ultimately make more carbon reductions than companies that don’t audit.

New leadership and management thinking from MIT experts

Meredith Somers

Ten books with a fresh look at data monetization, DEI practices, disciplined entrepreneurship, and more.

How dynamic work design can prevent overload

Brian Eastwood

One core operational improvement — moving from a “push” to a “pull” method of scheduling — can have large implications for organizations’ agility.

The state of supply chain sustainability

The fourth annual report documents a wavering commitment to sustainability in lean times but steady pressure from investors and corporate buyers.

MIT Sloan reading list: 8 books from 2023

From artificial intelligence to supply chains to the future of China’s economy, these books help explain what’s happening in today’s business environment.

How to wire your organization to excel at problem-solving

Steven Spear

A new book from MIT Sloan’s Steven Spear provides leaders with a blueprint for designing, sustaining, and improving their organization’s sociotechnical systems.

Build better KPIs with artificial intelligence

Beth Stackpole

AI-enriched KPIs, known as smart KPIs, can better guide organizations toward key business goals.

Thinkers50 awards recognize 13 from MIT Sloan

Researchers studying good jobs, digital transformation, misinformation, and innovation were nominated for the 2023 Thinkers50 awards.

Remembering MIT Sloan Dean Emeritus Bill Pounds

An expert in corporate governance and operations management, Pounds championed a new generation of MIT Sloan faculty members and served on dozens of corporate boards.

4 new insights from MIT Sloan Management Review

Practical advice for leaders on rooting out toxic culture and seeking gains from artificial intelligence and operations improvements.

IMAGES

Interesting MBA Operations Management Topics
Operations Management: Definition, Examples, and Strategies
Operations Management Thesis Topics l Operations Management Research Topics l OM Research topics
Operations Management Dissertation Topics Help By Experts. #
List of Best Operations Management Dissertation Topics 2020
Operations

COMMENTS

Operations Management Dissertation Topics
Original Operations Management Dissertation Topics. Topic 1: Analysing the impact of Enterprise Resource Planning (ERP) on improving business operations of multinational companies. Topic 2: Impact of Just-in-time (JIT) inventory on improving supply chain efficiency of large retail outlets.
PhD in Operations Management: PhD Operations Management Courses
The operations management Ph.D. program is a close-knit group that invests in community building and professional development. Ph.D. students thrive in the vibrant social and cultural communities at Georgia Tech and the Atlanta metropolitan area. Additionally, Georgia Tech has a large and diverse graduate student community.
Technology & Operations Management
The program requires a minimum of 13 semester long doctoral courses. Students in the Technology & Operations Management program complete courses in the areas of business management theory, economic theory, quantitative research methods, academic field seminars, and two MBA elective curriculum courses. In addition to HBS courses, students may ...
Management Science and Operations Management PhD
His PhD is in management science and operations management. S. Alex Yang, MBA '10, PhD '10. Scholarly Publications. Chicago Booth is home to some of the world's most prestigious business and economic journals. Today, the school is responsible for the management of three high-impact journals, while four others were founded at Booth.
Operations Management
The goal of the doctoral program in Operations Management is to train researchers and future faculty to develop scientific solutions to the problems currently being faced by operations managers. Operations Management covers a broad range of topics as found in: Online platforms and sharing economy. Health care management. Supply chain management.
Operations
The Operations doctoral program is designed to train individuals to identify and model operational processes wherever they are found with the goal of improving performance and decision making. The program prepares participants individuals for faculty positions in operations research or operations management at research-oriented business, engineering and policy schools.
PhD in Operations Management
The Operations Management PhD program is a research-intensive program designed to train future academics by providing rigorous training and opportunities in research, teaching, and service. ... It requires an understanding of relevant literature and methodology, and the ability to think independently. PhD candidates must find an original topic ...
Operations Research
The Ph.D. Program in Operations Research stresses optimization techniques leading to decision-making algorithms and the development of new models for management science applications. The Tepper School's doctoral program in operations research (OR) is designed to encourage students to make contributions toward basic scientific knowledge in the area.
TOPS
Doctoral students in operations management take core courses in optimization theory, stochastic processes, and data science. A wide range of electives based on faculty expertise are offered including inventory theory, game theory, service operations, assortment optimization, supply chain finance and more.
Operations Management
The Doctoral Program in Operations Management (OM) at the Ivey Business School is designed to prepare students for an engaging and enriching career in conducting meaningful scholarly-based research and teaching in leading schools of business administration. The Doctoral Program in OM at the Ivey Business School has a strong track-record of ...
Operations Management: Curriculum
Curriculum - Operations Management PhD. The operations management curriculum is designed to develop a strong foundation in operations management, operations research, economics, and mathematics. Coursework. Coursework is tailored to each student's background and interests and typically extends over 2 to 2.5 years.
Operations Management Dissertation Topics for FREE
Operations Management Dissertation Topics-FREE, excellent Master & Bachelor dissertation topics will help you get started with your proposal or dissertation ... Knowing that the time spent on this work, which may be months, or in some cases years, on a PhD or Master's Degree is so critical to success can making the topic choice seem daunting ...
Top 50 Operations Management Dissertation Topics Trending in the Year 2021
The influence of information technology on the manufacturing firms in Canada. Big data and its function in revolutionising the operations management for online retailers. I Robot: The utility of robotic automation and picking by Alibaba and its impact on the supply chain efficiencies. Inventory Management Operations Dissertation Topics.
PhD in Operations Management
UNC Kenan-Flagler's Operations Area studies a complex range of business activities associated with the coordination of resources and effective delivery of value-added products and services to global customers. Our faculty is well known for conducting research in a variety of applied clusters, including supply chain management, inventory ...
PhD in Management Science, Operations Management Concentration
The Operations Management PhD program is designed to train students for successful academic careers in research universities. The Operations Management group is top-ranked among public universities in North America and #3 in the world in research productivity, with large faculty specializing in such diverse areas as inventory, revenue and supply chain management, control theory, behavioral ...
PhD and Masters Theses
The theses produced at the ORC are a principle way in which the ORC achieves its mission. Whether you are a member of our doctoral degree (PhD) program or our master's degree (SM) program in operations research, you will write a thesis based on original, independent research conducted under the guidance of our expert faculty.
Operations Management PhD Specialization
Operations Management Area Faculty Coordinator. Prof. Apurva Jain, Operations Management Area Faculty Coordinator, would be glad to answer your questions. Contact him by phone at 206-685-4970 or by email at [email protected].
Operations Management
The Ph.D. in Operations Management. Stern's Operations Management (OM) group works on problems in managing operations in today's economy. OM research at Stern uses a combination of analytical, empirical, and theory-building methodologies to understand how to design contracts and quality systems for the management of decentralized supply ...
Operations and Information Management
PhD Coordinator: Jing Peng [email protected]. Mission: To prepare students to conduct high quality, state-of-the-art research, and to assume faculty positions at leading institutions in the areas of Information Systems and Operations Management. The Operations and Information Management (OPIM) Ph.D. Program at UConn provides its students with ...
Operations Management: Curriculum
The qualifying examination in operations management consists of two components: a written examination and a summer literature review project. In the second year, a written examination covering the topics in the required courses will be administered. Students who achieve excellent performance in required courses may, at the discretion of the ...
Operations Management
Operations Management focuses on designing and managing value-added processes across various organizations involved in supplying goods or providing services to meet end consumer needs. Using methodologies from economics, statistics, machine learning, and more, you will focus on the production and distribution of goods, services, and information to understand how companies achieve competitive ...
PhD Operations Management
Operations Management helps to deliver solutions for even the most challenging business decision. Making tough business decisions demands both realistic modeling of these decision problems and knowledge of the development of new theory and techniques. Our program stresses a balanced approach to the subject while familiarizing you with the ...
Operations Management
The mission of the MIT Sloan School of Management is to develop principled, innovative leaders who improve the world and to generate ideas that advance management practice. Find Us MIT Sloan School of Management 100 Main Street Cambridge, MA 02142 617-253-1000
1: Introduction to Operations Management
Operations management is a vast topic but can be bundled into a few distinct categories, each of which will be covered in later units. (It should be noted that entire courses could be devoted to each of these topics individually). Since most people do not work in a formal operations department, we will begin with an overview of operations ...

Useful Links

Operations Management Dissertation Topics

Introduction

Operations and Management Research Topics

Topic 2: Analysing the operational risk in outsourcing software projects for international companies.

Topic 3: How do the merger and acquisition of a company affect the performance of its employees? An exploratory study identifying the factors that affect employee's performance. A case study of (Any company or companies can be studied)

Topic 4: Impact of strategic management on the financial performance of companies

Topic 5: Analysing the operational risks associated with the manufacturing of automobiles and the role of plant managers in reducing these risks.

Topic 6: An assessment of the Company's tradeoff between innovation and uniformity- A case study of UK IT sector.

Topic 7: Operation Management- Comparison between different forecast approaches.

Topic 8: An examination of the Effectiveness of RBT in strategic operation management in the UK manufacturing industry.

Topic 9: Humanitarian operation management- A review of Literature

Topic 10: A study to Determine if Operations Management Solutions Effectively Meet the Needs of Home Care Organisations- An International Perspective.

Topic 11: A Study to Understand the Role of Data Analytics in Improving Operational Decision-Making

Topic 12: Analysing the Effects of Lean Six Sigma Methodologies on Reducing Patient Wait Times in Different Healthcare Settings

COVID-19 Operations and Management Research Topics

Topic 2: Intelligent operation management during COVID-19

Topic 1: Impact of JIT on improving supply chain efficiency of large retail outlets

Topic 2: Operation management strategies B2B and B2C business model

Topic 3: The role of ICT (Information and Communication Technology) in SCM (Supply Chain Management)

Topic 4: TQM (Total Quality Management) as a competitive advantage

Topic 5: A Big Data Approach to Optimizing Last-Mile Delivery in Online Retail

Original Operations Management Dissertation Topics

Topic 2: Impact of Just-in-time (JIT) inventory on improving supply chain efficiency of large retail outlets

Topic 3: Analysing the pros and cons of outsourcing logistic operation activities in the construction industry of the UK

Topic 4: Assessing and comparing the operations management strategies of B2B and B2C business models

Topic 5: Analysing the operational risks involved in the manufacturing of automobiles and how can minimise these risks

How Can ResearchProspect Help?

Supply Chain Management Dissertation Topics

Lean Manufacturing Dissertation Topics

Inventory Management Dissertation Topics

Product Development Dissertation Topics

Order a Proposal

Production Planning / Scheduling Dissertation Topics

Supply Chain Management and Manufacturing Strategy Dissertation Topics

Risk Management Dissertation Topics

Service Design Dissertation Topics

Hire an Expert Writer

Logistics Dissertation Topics

Other Popular Topics in Operations Management

Important Notes:

How to Structure Your Operations Management Dissertation

About ResearchProspect Ltd

Free Dissertation Topic

Frequently Asked Questions

You May Also Like

Operations Management Concentration Overview

Ph.D. Placements

Research Areas of Excellence

Faculty Editorial Positions

Current Associate (Senior) Editorships

Honors, Awards, and Professional Society Positions

Faculty Academic, Industry, and Media Recognition

Operations Management Newsletters

Application Process

Technology & Operations Management

Technology & Operations Management

Research & Dissertation

Omar Olivarez

Current HBS Faculty

Current Technology & Operations Management Students

Current HBS Faculty & Students by Interest

Manage Cookie Preferences

PhD in Management Science and Operations Management

As a doctoral student in management science and operations management at Chicago Booth, you will leverage mathematics and computer methods to generate research that helps managers develop better systems and make better decisions.

Our Distinguished Management Science and Operations Management Faculty

Dan Adelman

John R. Birge

Rene Caldentey

Ozan Candogan

Levi DeValve

Donald D. Eisenstein

Rad Niazadeh

Alumni Success

S. Alex Yang, MBA ’10, PhD ’10

Scholarly Publications

Spotlight on Research

Amy R. Ward Says Customers Are Getting Impatient

Dan Adelman Says Health Care Has a Data Opportunity

How Bookies Can Outwit Smart Bettors