ERIC Number: EJ1315254
Record Type: Journal
Publication Date: 2021-Oct
Pages: 15
Abstractor: As Provided
ISBN: N/A
ISSN: ISSN-1540-4595
EISSN: N/A
Mixed-Integer Linear Programming Optimization for the Supply Chain Game
Decision Sciences Journal of Innovative Education, v19 n4 p250-264 Oct 2021
In this article, we describe the use of linear programming in conjunction with an online simulation game in an undergraduate supply chain management class. Supply chain management is a required course for students enrolled in a Business Administration program with a concentration in management. It delivers a broad overview of the supply chain management discipline, using a simulation game by Responsive Learning Technologies to provide students with hands-on experience designing and managing a supply chain. In this teaching brief, I give an overview of the game and present the formulation of an accompanying mixed-integer linear programming model to design an optimal supply chain that meets customers, demand while maximizing company profit. Students use a spreadsheet template to develop their own implementation of the model and then apply the optimal solution during the simulation. Consequently, they gain an understanding of the role of network optimization in supply chain management. I conclude with recommendations for management of game activities using this model and a brief discussion of some of the issues to be monitored as the game is played.
Descriptors: Undergraduate Students, Educational Games, Computer Simulation, Computer Games, Business Administration Education, Experiential Learning, Programming, Computer Uses in Education
Wiley. Available from: John Wiley & Sons, Inc. 111 River Street, Hoboken, NJ 07030. Tel: 800-835-6770; e-mail: cs-journals@wiley.com; Web site: https://bibliotheek.ehb.be:2191/en-us
Publication Type: Journal Articles; Reports - Descriptive
Education Level: Higher Education; Postsecondary Education
Audience: N/A
Language: English
Sponsor: N/A
Authoring Institution: N/A
Grant or Contract Numbers: N/A