Enhance supply chain dynamics education: Evaluate insights from beer game simulations

Main Article Content

Angela Yang

Abstract

With the rapidly changing global trade environment, consumer preferences and sustainability issues are becoming increasingly prominent, and supply chain management issues are becoming increasingly important. The purpose of this paper is to explore a newly designed game simulation teaching software, Beer Game, which introduces its development and theory. The software will provide consumers’ true experience, by utilizing this application learners will simulate playing different roles to take the challenges of competing in the marketplace in the modern supply chains. Therefore, the experience of the beer game immerses learners with great significance in understanding the concept of supply chain management during the competition. Through a practical experience, the game starts with running in the marketplace, to experience the results of the business performance. Students had positive responses with highly engaged attitudes towards the Beer Game system. Instructors facilitate the operations with satisfactory results.

Article Details

How to Cite
Yang, A. (2024). Enhance supply chain dynamics education: Evaluate insights from beer game simulations . Supply Chain and Sustainability Research: SCSR, 2(1), 38–49. https://doi.org/10.14456/scsr.2024.3
Section
Research articles

References

Croson, R., Donohue, K., Katok, E., & Sterman, J. (2014). Order stability in supply chains: Coordination risk and the role of

coordination stock. Production and Operations Management, 23(2), 176-196.

Fawcett, S. E., Magnan, G. M., & McCarter, M. W. (2008). Benefits, barriers, and bridges to effective supply chain management.

Supply chain management: An international journal, 13(1), 35-48.

Kimbrough, S. O., Wu, D. J., & Zhong, F. (2002). Computers play the beer game: can artificial agents manage supply chains?.

Decision support systems, 33(3), 323-333.

Kouvelis, P., Chambers, C., & Wang, H. (2006). Supply chain management research and production and operations

management: Review, trends, and opportunities. Production and Operations Management, 15(3), 449-469.

https://doi.org/10.1111/j.1937-5956.2006.tb00257.x

Kumar, S., Chandra, C., & Seppanen, M. S. (2007). Demonstrating supply chain parameter optimization through beer game

simulation. Information Knowledge Systems Management, 6(4), 291-322.

Kulik, C. L. C., & Kulik, J. A. (1986). Effectiveness of computer-based education in colleges. Aeds Journal, 19(2-3), 81-108.

Otto, A., & Kotzab, H. (2003). Does supply chain management really pay? Six perspectives to measure the performance of

managing a supply chain. European journal of operational research, 144(2), 306-320.

Riemer, K. (2008). The Beer game in business-to-business eCommerce courses–a teaching report. BLED 2008 Proceedings.

https://aisel.aisnet.org/bled2008/1

Sterman, J. D. (1989). Modeling managerial behavior: Misperceptions of feedback in a dynamic decision-making experiment.

Management Science, 35(3), 321-339.

Thompson, K. M., & Badizadegan, N. D. (2015). Valuing information in complex systems: An integrated analytical approach to

achieve optimal performance in the beer distribution game. IEEE Access, 3, 2677-2686.

Wang, X., & Disney, S. M. (2016). The bullwhip effect: Progress, trends, and directions. European Journal of Operational

Research, 250(3), 691-701. 50