Operations, technology, and information management (OTIM) emphasizes quantitative methods of analysis to solve major economic decision problems in the operations domain.
Examples of problems addressed include those within supply-chain management, data analytics, service operations, healthcare, sustainability, distribution systems, quality management, and information management.
The methods that students will learn in the program include analytical modeling, empirical data analysis, and experiments. Typical coursework covers topics such as optimization, stochastic processes, dynamic programming, microeconomics, econometrics, and computer programming. In addition to coursework, students will be required to write a summer paper after their first and second years, which will allow them to gain valuable experience for conducting rigorous research. Students will also have the ability to present their work in the OTIM research workshop and receive feedback from their fellow students and faculty.
- Management Science, Operations Research, Manufacturing & Service Operations Management
Recent operations management dissertations and places of first employment
- "Managing Operations Under Bankruptcy Risk," Yasin Alan, Vanderbilt University
- "Analysis of Serial Production Systems Using Simulation and Behavioral Experiments," Kenneth L. Schultz, Indiana University
- "The Simulation of Self-directed Production Systems: Incorporating Human Factors," David C. Juran, Columbia University
- "Operational Strategies for Combating Risks & Inefficiencies within Supply Chains," Lucy Gongtao Chen, National University of Singapore
- "Essays on Multi-Product Supply Chains," Shu Zhou, San Jose State University