Ph.D. Program in Operations Management
This program includes a range of interests: quantitative modeling to empirical studies using tools from OR, stochastic processes, AI, statistics, econometrics and economics
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:
- Supply chain management
- International operations
- Inventory control
- Just-in-time manufacturing
- Kanban systems
- Revenue management
- Healthcare management
- Service operations
- Strategic operations
- Energy systems
- Commodity and energy merchant operations
- Real options
- Interface of design and manufacturing
- Internet applications and e-commerce
- Interface of manufacturing with finance, information systems and marketing
- New product development
- Learning and human resource practices in manufacturing organizations
- Automation and computer integrated manufacturing
- Quality management and other interdisciplinary aspects of plant operations
- Shop floor control
Faculty research interests range from quantitative modeling to empirical studies using tools from operations research, mathematical programming, applied stochastic processes, simulation, artificial intelligence, statistics, econometrics and economics.
The Tepper School of Business has a long tradition of outstanding doctoral education in all branches of management. The business school is strongly committed to manufacturing and operations management as evidenced by a strong MBA program in production and operations management (we have always been in the top two in major surveys) as well as an excellent Ph.D. program.
More generally, the Tepper School at Carnegie Mellon is committed to quantitative management research and has made innovative contributions leading to several Nobel Prizes in Economics, and the faculty in Operations Research have won the Frederick W. Lanchester Prize and the John Von Neumann Theory Prize (awarded by INFORMS).
The Tepper School has close ties working with the Carnegie Mellon College of Engineering in topics including energy and green design and the School of Computer Science and Department of Mathematical Sciences in jointly administering the graduate program in Algorithms, Combinatorics and Optimization. The school partners with the CMU Robotics Institute in work involving artificial intelligence and the joint management of manufacturing and automation program. Interdisciplinary collaborations also include other schools and research centers across the CMU campus such as the Department of Statistics and the Heinz School of Public Policy and Management. Students have significant flexibility in conducting research with, and taking classes from, faculty in these schools.
The Ph.D. program in Operations Management is small with an interdisciplinary outlook. Students benefit from strong quantitative training as well as close ties with industry. A broad range of core and elective courses provides the students with a business outlook that is uniquely possible. In fact, the breadth of research possibilities under one umbrella at our group is probably unmatched by any other Operations Management department in the country.
- Supply Chain Management in Sourcing
- Manufacturing and Distribution
- Managing Product Variety
- Revenue Management
- Health Care Services
- Strategic Operations
- Energy Commodity Operations
- Energy Merchant Operations
- Finance/ Marketing/ Manufacturing-Information Systems Interface
- International Operations
- Computer Science
- Real Options
Specific Project Partnerships
- Lucent Technologies
- Equitable Gas
- Chance-Constrained Models
- Queueing Theory
- Mechanism Design
- Approximate Dynamic Programming
Current Doctoral Candidates
(including Mgmt. of Manufacturing and Automation*)
- Mehmet Aydemir
- Franco Berbeglia
- Musa Eren Celdir
- Neda Mirzaeian
- Siddharth Singh
- Yanhan (Savannah) Tang
- Bo Yang
Many of our students are very active in the Carnegie Mellon INFORMS Student Chapter.