Case Article—Swirltubs After-Market Product Inventory and Service Case
Author(s) -
Michael F. Gorman
Publication year - 2021
Publication title -
informs transactions on education
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.161
H-Index - 3
ISSN - 1532-0545
DOI - 10.1287/ited.2021.0259ca
Subject(s) - analytics , computer science , heuristic , product (mathematics) , service (business) , knapsack problem , scale (ratio) , test (biology) , section (typography) , operations research , business analytics , net present value , production (economics) , data science , business model , management , marketing , engineering , artificial intelligence , business analysis , macroeconomics , mathematics , algorithm , business , biology , paleontology , geometry , quantum mechanics , physics , operating system , economics
In the Swirltubs case, students apply expected value decision making to a knapsack problem for appliance repairmen. The case is based on a published research paper on work that was actually implemented for a major appliance manufacturer. The case features three parts: (1) problem understanding and definition; (2) optimization results for a small, test problem; and (3) creation and testing of a heuristic for a large-scale implementation that exceeds the limits of Microsoft Excel®. Optionally, an instructor can add risk-analysis simulation and reoptimization under uncertainty in subsequent parts of the project, making it a total of five parts. The case is highly interactive, owing to the relatively unstructured nature of the problem. I have implemented the case over a two- and three-week period format, with upper-level master’s in business administration or master’s in analytics students who have been exposed previously to optimization methods. It has been administered to dozens of students with generally positive feedback.
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