Operations, Technology & Information Management

Operations, technology, and information management (OTIM) emphasizes quantitative methods of analysis to solve major economic decision problems in the operations area.

Examples of problems addressed include those within supply-chain management, service operations and queuing, distribution systems, quality management, data analytics, and information management.

The methods that students will learn in the program include quantitative modeling, empirical data analysis, and experiments. Students in operations management at Johnson work closely with the faculty and students in Cornell's College of Engineering, especially the School of Operations Research and Information Engineering.


Selected Journals

  • 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