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Experiential exercises with four production planning and control systems

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  • Andrew Manikas
  • Mahesh Gupta
  • Lynn Boyd

Abstract

In the authors’ experience, students have difficulty in understanding the differences between production planning and control techniques. Presumably, current business managers, although they have heard about these systems, may also lack clarity on the differences between them. We outline manual games for simulating production runs in four systems (Materials Requirements Planning, Just-In-Time, Theory of Constraints and CONWIP) to give managers and students’ insight into the mechanics of different production planning control techniques. We then provide excel-based simulation tools to allow users to vary parameters for each system and see the impact on inventory and throughput. We believe that the combination of manual and excel-based games significantly enhances understanding of the systems as well as their differences.

Suggested Citation

  • Andrew Manikas & Mahesh Gupta & Lynn Boyd, 2015. "Experiential exercises with four production planning and control systems," International Journal of Production Research, Taylor & Francis Journals, vol. 53(14), pages 4206-4217, July.
    • Handle: RePEc:taf:tprsxx:v:53:y:2015:i:14:p:4206-4217
    DOI: 10.1080/00207543.2014.985393
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    Cited by:

    1. Unai Apaolaza & Aitor Orue & Aitor Lizarralde & Aitor Oyarbide-Zubillaga, 2022. "Competitive Improvement through Integrated Management of Sales and Operations," Sustainability, MDPI, vol. 14(5), pages 1-18, February.
    2. Lan Luo & Charles L. Munson, 2022. "Game—Playing Goldratt’s Dice Game in Large Classes," INFORMS Transactions on Education, INFORMS, vol. 22(3), pages 195-215, May.
    3. Habib Zare & Mahyar Kamali Saraji & Madjid Tavana & Dalia Streimikiene & Fausto Cavallaro, 2021. "An Integrated Fuzzy Goal Programming—Theory of Constraints Model for Production Planning and Optimization," Sustainability, MDPI, vol. 13(22), pages 1-15, November.
    4. Telles, Eduardo Santos & Lacerda, Daniel Pacheco & Morandi, Maria Isabel Wolf Motta & Piran, Fabio Antonio Sartori, 2020. "Drum-buffer-rope in an engineering-to-order system: An analysis of an aerospace manufacturer using data envelopment analysis (DEA)," International Journal of Production Economics, Elsevier, vol. 222(C).

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