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Evaluating Production Planning and Control Systems in Different Environments: A Comparative Simulation Study

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  • Wolfgang Seiringer
  • Balwin Bokor
  • Klaus Altendorfer

Abstract

Selecting the appropriate production planning and control systems (PPCS) presents a significant challenge for many companies, as their performance, i.e. overall costs, depends on the production system environment. Key environmental characteristics include the system's structure, i.e. flow shop, hybrid shop, or job shop, and the planned shop load. Besides selecting a suitable PPCS, its parameterization significantly influences the performance. This publication investigates the performance and the optimal parametrization of Material Requirement Planning (MRP), Reorder Point System (RPS) and Constant Work In Progress (ConWIP) at different stochastic multi-item multi-stage production system environments by conduction a comprehensive full factorial simulation study. The results indicate that MRP and ConWIP generally outperform RPS in all observed environments. Moreover, when comparing MRP with ConWIP, the performance clearly varies depending on the specific production system environment.

Suggested Citation

  • Wolfgang Seiringer & Balwin Bokor & Klaus Altendorfer, 2024. "Evaluating Production Planning and Control Systems in Different Environments: A Comparative Simulation Study," Papers 2405.02015, arXiv.org.
    • Handle: RePEc:arx:papers:2405.02015
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    References listed on IDEAS

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    1. Yann Jaegler & Anicia Jaegler & Patrick Burlat & Samir Lamouri & Damien Trentesaux, 2018. "The ConWip production control system: a systematic review and classification," International Journal of Production Research, Taylor & Francis Journals, vol. 56(17), pages 5736-5757, September.
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