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The Skateboard Manufacturing Company: A Teaching Case on Production Planning and Control

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Engineering Systems and Networks

Abstract

In manufacturing companies, it is possible to identify different production environments, each suited to a given production strategy. The capability of future managers to deal with these differences is critical and education should provide them a broad and critical view of possible planning models and methods. The aim of this paper is to present a teaching case that enables students to differentiate between two main approaches in the context of production scheduling, namely: MRP and APS. The teaching case was applied in a course of Production Planning and Control in an undergraduate degree in Production Engineering in Brazil. In its current version, the case comprises of five stages, covering the topics of demand forecasting, master scheduling, material requirements planning, finite capacity scheduling, and systems integration. A survey was conducted to evaluate the effectiveness of the teaching plan. The results indicate that students gain a better understanding of the differences between the approaches and now the skateboard factory case is an integral part of the course. Future applications will help to improve and expand the case, including new features related to the discipline contents.

The original version of this chapter was revised: The first author’s name has been modified. The erratum to this chapter is available at 10.1007/978-3-319-45748-2_40

An erratum to this chapter can be found at http://dx.doi.org/10.1007/978-3-319-45748-2_40

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Acknowledgments

The authors express their sincere thanks to Umberto Crepaldi, for helping with the development of the VBA applications used throughout the teaching case.

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Correspondence to Marco Aurélio de Mesquita .

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de Mesquita, M.A., Girotti, L.J., Tomotani, J.V. (2017). The Skateboard Manufacturing Company: A Teaching Case on Production Planning and Control. In: Amorim, M., Ferreira, C., Vieira Junior, M., Prado, C. (eds) Engineering Systems and Networks. Lecture Notes in Management and Industrial Engineering. Springer, Cham. https://doi.org/10.1007/978-3-319-45748-2_39

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  • DOI: https://doi.org/10.1007/978-3-319-45748-2_39

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  • Print ISBN: 978-3-319-45746-8

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