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Optimization Models of Production Planning Problems

In: Planning Production and Inventories in the Extended Enterprise

Author

Listed:
  • Hubert Missbauer
  • Reha Uzsoy

    (University of Innsbruck)

Abstract

Production planning problems have been formulated and solved as optimization problems since the early 1950s, and an extensive literature has been developed. The widespread use of Enterprise Resource Planning systems and developments in information technology and scientific computing have opened the way for even wider use of these techniques in industry. In this chapter, we review the basic formulations that have been the mainstay of academic research and industrial practice for the last five decades, assess their strengths and weaknesses, and discuss a number of interesting new directions that have emerged recently. We especially focus on models that support decisions on production volumes and order release over time and highlight the related issues on determining planned lead times.

Suggested Citation

  • Hubert Missbauer & Reha Uzsoy, 2011. "Optimization Models of Production Planning Problems," International Series in Operations Research & Management Science, in: Karl G. Kempf & Pınar Keskinocak & Reha Uzsoy (ed.), Planning Production and Inventories in the Extended Enterprise, chapter 0, pages 437-507, Springer.
    • Handle: RePEc:spr:isochp:978-1-4419-6485-4_16
    DOI: 10.1007/978-1-4419-6485-4_16
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    Citations

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    Cited by:

    1. Pürgstaller, Peter & Missbauer, Hubert, 2012. "Rule-based vs. optimisation-based order release in workload control: A simulation study of a MTO manufacturer," International Journal of Production Economics, Elsevier, vol. 140(2), pages 670-680.
    2. Haeussler, S. & Stampfer, C. & Missbauer, H., 2020. "Comparison of two optimization based order release models with fixed and variable lead times," International Journal of Production Economics, Elsevier, vol. 227(C).
    3. Haeussler, Stefan & Missbauer, Hubert, 2014. "Empirical validation of meta-models of work centres in order release planning," International Journal of Production Economics, Elsevier, vol. 149(C), pages 102-116.
    4. Onay, Anita & Stampfer, Christina & Missbauer, Hubert, 2023. "A behavioral perspective on workload control concepts: The influence of order release on operators’ reaction behavior," International Journal of Production Economics, Elsevier, vol. 264(C).
    5. de Kruijff, Joost T. & Hurkens, Cor A.J. & de Kok, Ton G., 2018. "Integer programming models for mid-term production planning for high-tech low-volume supply chains," European Journal of Operational Research, Elsevier, vol. 269(3), pages 984-997.
    6. Morikawa, Katsumi & Takahashi, Katsuhiko & Hirotani, Daisuke, 2014. "Make-to-stock policies for a multistage serial system under a make-to-order production environment," International Journal of Production Economics, Elsevier, vol. 147(PA), pages 30-37.
    7. Guhlich, Hendrik & Fleischmann, Moritz & Mönch, Lars & Stolletz, Raik, 2018. "A clearing function based bid-price approach to integrated order acceptance and release decisions," European Journal of Operational Research, Elsevier, vol. 268(1), pages 243-254.
    8. Ghadimi, Foad & Aouam, Tarik & Haeussler, Stefan & Uzsoy, Reha, 2022. "Integrated and hierarchical systems for coordinating order acceptance and release planning," European Journal of Operational Research, Elsevier, vol. 303(3), pages 1277-1289.
    9. Katsumi Morikawa & Katsuhiko Takahashi & Daisuke Hirotani, 2018. "Performance evaluation of candidate appointment schedules using clearing functions," Journal of Intelligent Manufacturing, Springer, vol. 29(3), pages 509-518, March.

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