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Order release in production planning and control systems: challenges and opportunities

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  • Hubert Missbauer
  • Reha Uzsoy

Abstract

Production planning and control (PPC) systems are important to the competitiveness of manufacturing firms and their ability to benefit from recent technological advances. We give an overview of research and unsolved research questions in PPC systems related to the order release function that sets output targets for autonomous production units that manage production at the shop-floor level. We describe the hierarchical Manufacturing Planning and Control (MPC) and Advanced Planning and Scheduling (APS) architectures for PPC systems prevalent in practice and the positioning of the order release task within these frameworks. We then describe the research streams relevant to order release, optimisation models for order release planning, and the relation of these models to the overall PPC system. Modelling the dynamic response of production units to time-varying work input, which represents an extension of classical production theory by incorporating the time dimension, is identified as the major modelling challenge. We conclude by suggesting several unsolved research questions that should encourage researchers to work on this topic which is far from mature.

Suggested Citation

  • Hubert Missbauer & Reha Uzsoy, 2022. "Order release in production planning and control systems: challenges and opportunities," International Journal of Production Research, Taylor & Francis Journals, vol. 60(1), pages 256-276, January.
    • Handle: RePEc:taf:tprsxx:v:60:y:2022:i:1:p:256-276
    DOI: 10.1080/00207543.2021.1994165
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    Cited by:

    1. Raphael Herding & Lars Mönch, 2024. "A rolling horizon planning approach for short-term demand supply matching," Central European Journal of Operations Research, Springer;Slovak Society for Operations Research;Hungarian Operational Research Society;Czech Society for Operations Research;Österr. Gesellschaft für Operations Research (ÖGOR);Slovenian Society Informatika - Section for Operational Research;Croatian Operational Research Society, vol. 32(3), pages 865-896, September.

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