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Journal ArticleDOI

The impact of a simulation game on operations management education

Federico Pasin, +1 more
- 01 Aug 2011 - 
- Vol. 57, Iss: 1, pp 1240-1254
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TLDR
The results show that although simple decision-making skills can be acquired with traditional teaching methods, simulation games are more effective when students have to develop decision- making abilities for managing complex and dynamic situations.
Abstract
This study presents a new simulation game and analyzes its impact on operations management education. The proposed simulation was empirically tested by comparing the number of mistakes during the first and second halves of the game. Data were gathered from 100 teams of four or five undergraduate students in business administration, taking their first course in operations management. To assess learning, instead of relying solely on an overall performance measurement, as is usually done in the skill-based learning literature, we analyzed the evolution of different types of mistakes that were made by students in successive rounds of play. Our results show that although simple decision-making skills can be acquired with traditional teaching methods, simulation games are more effective when students have to develop decision-making abilities for managing complex and dynamic situations.

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Mathematical programming models for supply chain production and transport planning

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References
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Book

Knapsack Problems: Algorithms and Computer Implementations

TL;DR: This paper focuses on the part of the knapsack problem where the problem of bin packing is concerned and investigates the role of computer codes in the solution of this problem.
Journal ArticleDOI

Games, Motivation, and Learning: A Research and Practice Model:

TL;DR: An input-processoutput model of instructional games and learning is presented that elaborates the key features of games that are of interest from an instructional perspective; the game cycle of user judgments, behavior, and feedback that is a hallmark of engagement in game play; and the types of learning outcomes that can be achieved.
Book

Serious Games

Clark Abt
Journal ArticleDOI

A stochastic programming approach for supply chain network design under uncertainty

TL;DR: This paper proposes a stochastic programming model and solution algorithm for solving supply chain network design problems of a realistic scale and integrates a recently proposed sampling strategy, the sample average approximation scheme, with an accelerated Benders decomposition algorithm to quickly compute high quality solutions.
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