Game—An Experiential Approach to Teaching Structural Decision Areas in Operations Strategy—The TANGOS Exercise
Shellyanne Wilson ()
Additional contact information
Shellyanne Wilson: Department of Management Studies, The University of the West Indies, St. Augustine, Trinidad and Tobago
INFORMS Transactions on Education, 2020, vol. 20, issue 2, 113–123
Abstract:
The Tangibles in Operations Strategy (TANGOS) exercise provides students with the direct experience of designing a firm’s operations function. Specifically, students must engage in decision making with respect to the structural decision areas in a firm’s operations strategy, by considering the firm’s product strategy and span of control, process choice, capacity, and layout. The exercise, divided into three parts, spans a period of 6–8 weeks, to coincide with the teaching of these operations management topics. Part 1 involves deciding on the product models to be made, the span of control, and the process choice. Part 2 examines capacity issues. Part 3 deals with the plant layout. The exercise is not resource intensive, and it offers flexibility, where instructors could choose to focus on any single part of the exercise, as well as alter constraints to limit or expand the scope of each decision. Student feedback reflects a high rating of the exercise.
Keywords: classroom games; teaching production/operation management; active learning (search for similar items in EconPapers)
Date: 2020
References: View references in EconPapers View complete reference list from CitEc
Citations:
Downloads: (external link)
https://doi.org/10.1287/ited.2019.0219 (application/pdf)
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:inm:orited:v:20:y:2020:i:2:p:113-123
Access Statistics for this article
More articles in INFORMS Transactions on Education from INFORMS Contact information at EDIRC.
Bibliographic data for series maintained by Chris Asher ().