PhD in Management Science, Operations Management Concentration
Operations Management emphasizes the development of models, methods, applications and algorithms as they apply to problems in industrial manufacturing, complex 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 doctoral program in operations management 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.
The Operations Management faculty are highly visible, active researchers currently ranked # 4 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 2008-2013:
|Columbia University (Graduate School of Business)|
|Duke University (The Fuqua School of Business)|
|Massachusetts Institute of Technology (Sloan School of Management)|
|University of Texas at Dallas (Naveen Jindal School of Management)|
|University of Pennsylvania (The Wharton School)|
|Northwestern University (Kellogg School of Management)|
|Stanford University (Graduate School of Business)|
|New York University (Leonard N. Stern School of Business)|
|Harvard University (Harvard Business School)|
With a strong emphasis on rigorous coursework and student research, the Operations Management 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 program with the knowledge and skill set to produce quality research, effectively teach, and lead in industry.
|Liying Mu||University of Delaware|
|Tao Li||Santa Clara University|
|Anshuman Chutani||SUNY Binghampton|
|Tharanga Rajapakshe||University of Florida|
|Casey Chung||Blockbuster, Inc.|
|Mili Mehrotra||University of Minnesota at Twin Cities|
|Jun Ru||SUNY Buffalo|
|Ruixia Shi||University of Richmond|
|Gokcen Arkali||Prairie View A&M University|
|Sanjay Kumar||Pennsylvania State University, Erie|
|Nagihan Comez||Bilkent University|
|Manoj Vanajakumari||Prairie View A&M University|
|Xuying Zhao||University of Notre Dame|
|Qi Feng||University of Texas (Austin)|
|Jing Zhou||University of North Carolina, Charlotte|
|Lama Moussawi||American University of Beirut|
|Xianghua Gan||The Hong Kong Polytechnic University|
|Hong Yin||Western Carolina University|
|Sirong Luo||Data Analyst at CapitalOne Financial|
|Sanjeewa Naranpanawe||SAS Institute|
|Harry Neil Geismar||University of Texas at Dallas|
|Xiaohang Yue||University of Wisconsin, Milwaukee|
|Subodha Kumar||University of Washington at Seattle|
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 program.
Below are examples of student publications in 24 leading business journals from 2007-2012.
Feng, Q. and Shi, R. “Sourcing from Multiple Suppliers for Price-Dependent Demands” Production and Operations Management, 2013.
Comez, N., Stecke, K. E. and Çakanyıldırım, M. “In-Season Transshipments Among Competitive Retailers” Manufacturing & Service Operations Management, 2012, 14, 2, pp. 290-300.
Comez, N., Stecke, K. E. and Çakanyıldırım, M. “Multiple In-Cycle Transshipments with Positive Delivery Times” Production and Operations Management, 2012, 21, pp. 378–395.
Feng, Q. and Lu, L. “The Strategic Perils of Low Cost Outsourcing” Management Science, 2012, 58, 6, pp. 1196-1210.
Liu, D., Kumar, S. and Mookerjee, V.S. “Advertising Strategies in Electronic Retailing: A Differential Games Approach” Information Systems Research, 2012, 23, 3, pp. 903-917.
Bensoussan, A., Feng, Q. and Sethi, S.P. “Achieving a Long-Term Service Target with Periodic Demand Signals: A Newsvendor Framework” Manufacturing & Service Operations Management, 2011, 13, 1, pp. 73-88.
Geismar, H. N. , Dawande, M. and Sriskandarajah, C. “Pool-Point Distribution of Zero-Inventory Products” Production and Operations Management, 2011, 20, pp. 737–753.
Ji, Y., Kumar, S. , Mookerjee, V. S., Sethi, S. P. and Yeh, D. “Optimal Enhancement and Lifetime of Software Systems: A Control Theoretic Analysis” Production and Operations Management, 2011, 20, pp. 889–904.
Rajapakshe, T. , Dawande, M., and Sriskandarajah, C. “Quantifying the Impact of Layout on Productivity: An Analysis from Robotic-Cell Manufacturing” Operations Research, 2011, 59, 2, pp. 440-454.
Rajapakshe, T. , Dawande, M., Gavirneni, S., and Sriskandarajah, C. “Designing Dedicated Transportation Subnetworks: Deadheading vs. Lane-Sharing” Manufacturing and Service Operations Management, December 2011.
Zhu, Y. , Dawande, M. and Sriskandarajah, C. “Value of Local Cash Reuse: Inventory Models for Medium-Size Depository Institutions under the New Federal Policy” Manufacturing and Service Operations Management, 2011, 13, 4, pp. 508-524.
Dawande, M., Mehrotra, M. , Mookerjee, V. and Sriskandarajah, C. “An Analysis of Coordination Mechanisms for the U.S. Cash Supply Chain” Management Science, 2010, 56, 3, pp. 553-570.
Dey, D. and Kumar, S. “Reassessing Data Quality for Information Products” Management Science, 2010, 56, 12, pp. 2316-2322.
Khouja, M. and Zhou, J. “The Effect of Delayed Incentives on Supply Chain Profits and Consumer Surplus” Production and Operations Management, 2010, 19, pp. 172–197.
Mehrotra, M. , Dawande, M. and Sriskandarajah, C. “A Depository Institution’s Optimal Currency Supply Network under the Fed’s New Guidelines: Operating Policies, Logistics, and Impact” Production and Operations Management, 2010, 19, 6, pp. 709-724.
Kulkarni, V. G., Kumar, S. , Mookerjee, V. S. and Sethi, S. P. “Optimal Allocation of Effort to Software Maintenance: A Queuing Theory Approach” Production and Operations Management, 2009, 18, pp. 506–515.
Arkali, G. , Dawande, M. and Sriskandarajah, C. “Scheduling Support Times for Satellites With Overlapping Visibilities” Production and Operations Management, 2008, 17, 2, pp. 224-234.
Dawande, Kumar, S. , Mookerjee, V.S., and Sriskandarajah, C. “Maximum Commonality Problems: Applications and Analysis” Management Science, 2008, 54, 1, pp. 194-207.
Haruvy, E., Sethi, S. P. and Zhou, J. “Open Source Development with a Commercial Complementary Product or Service” Production and Operations Management, 2008, 17, pp. 29–43.
Dawande, M., Geismar, H. N. , Sethi, S.P. and Sriskandarajah, C. Throughput Optimization in Robotic Cells, 2007, Springer Publishers.
Geismar, H.N. , Dawande, M., Rajamani, D., and Sriskandarajah, C. “Managing a Bank’s Currency Inventory Under New Federal Reserve Guidelines,” Manufacturing and Service Operations Management, 2007, 9, 2, pp. 147-167.
Applicants should have at least a bachelor’s degree. Admission is based on grade point average, graduate examination test score (GRE or GMAT), 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 January 16th, it is best to complete the entire application process no later than January 15th. While applications will be accepted after that date, applying after January 15th may significantly lower your chance of acceptance. Applications for admission can be made using the UT Dallas Graduate Application website.
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.
Students entering the program without an MBA or equivalent are required to complete a minimum of four courses in at least three areas typically required of MBA students to provide them with the knowledge required to be professional managers. In certain instances, a higher–level course may be substituted for an MBA–level course.
Research Methods Core (30 hours)
The Management Science PhD core curriculum consists of 10 courses.
Please visit the Management Science Degree Plan page for core and secondary core course requirements.
MinorNine hours in any approved field
Required courses in Operations Management
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.
Seminars and Special Topics
Twelve 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.
Written Preliminary and Qualifying Examinations
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). At the end of their second year in the program, students take a qualifying exam (consisting of two parts: a written exam and a completed research paper), that they must pass before admission for candidacy for the doctorate degree.
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.