Affiliation:
1. Department of Management Information Systems, Operations and Analytics, University of Dayton School of Business, Dayton, Ohio 45419
Abstract
This case integrates three different methodologies over a four-part sequence on a problem that mirrors a real-world, published project. Students apply statistics, integer optimization, and simulation analysis toward solving the job assignment problem. The case features four parts: (1) operating cost and runtime estimation via regression, (2) mixed integer optimization analysis of a baseline and two scenarios, (3) simulation of the recommended solution under uncertainty, and (4) reoptimization under uncertainty. The case has been implemented over a one- to four-week period with upper level MBA or masters in analytics students. The case has received very positive feedback.
Publisher
Institute for Operations Research and the Management Sciences (INFORMS)
Subject
Management Science and Operations Research,Education,Management Information Systems