Improving a Game-based Education Tool for Quality Management in Production Networks

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Abstract

Managing the quality of a product and a company within a production network is a challenging task for decision makers, as the impact of actions is often time-delayed and can lead to the famous bullwhip effect in a multi stage supply chain. In order to qualify decision makers to understand the fundamental principles of quality management in production networks and thus enable them to effectively use it to optimize quality within his or her company, a game based simulation similar to Goldratt's game, called Q-I-Game, has been developed and tested in a previous research project. Within the game, one player acts as a factory between a supplier and a customer and states his desired invest into quality, the quantity of parts to be ordered and the investment into an inspection of incoming parts. The game uses simple, artificial functions to model effects between the investment into quality and the resulting quality of produced parts. To improve the learning effect of the game in regards to inspection planning as well as to promote understanding of the mechanics, the functionality of the game was expanded and a more realistic model of production is being developed and shown in this paper. The added functionality allows to simulate an extended supply chain with multiple players all acting as customer and supplier within the game. Thus, the game has evolved from simple single player to a complex multi-player game, taking the fact into consideration, that the bullwhip effect increases downstream of the supply chain. In addition, players will have the opportunity to make decisions on defect parts coming from a supplier (e.g. reject them and accept a new supply date). The extensions of the game which are already realised will be presented within the paper and future developments will be discussed.

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Fuhrmann, M., Frank, D., Falk, B., & Schmitt, R. (2016). Improving a Game-based Education Tool for Quality Management in Production Networks. In Procedia CIRP (Vol. 41, pp. 692–696). Elsevier B.V. https://doi.org/10.1016/j.procir.2015.12.085

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