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Comparison of two optimization based order release models with fixed and variable lead times

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  • Haeussler, S.
  • Stampfer, C.
  • Missbauer, H.

Abstract

Manufacturing planning and control systems ideally seek to simultaneously achieve short and predictable flow times as well as high output and due-date performance. One approach to address this problem is the workload control concept. It is based on the idea to control lead times by controlling order releases and thus the level of work-in-process and output. The focus of this paper is on multi-period optimization models for order release planning. We use a simulation study of a make to order manufacturer in a rolling horizon setting and compare the performance of an order release model that assumes fixed lead times and a model that allows for variable lead times: An input output control and a clearing function model, respectively. We analyze two different approaches to cope with the varying and tight due date slack and find that including more foreknowledge of demand is preferable. Finally, we show that the clearing function model outperforms the input output control model in all scenarios by yielding lower inventory levels with shorter shop floor throughput times. This advantage seems not to be affected by the predictability of the demand, but the IOC model narrows the gap when using near optimal parameters especially for a scenario with deterministic demand.

Suggested Citation

  • 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).
    • Handle: RePEc:eee:proeco:v:227:y:2020:i:c:s092552732030075x
    DOI: 10.1016/j.ijpe.2020.107682
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    Cited by:

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    3. 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.
    4. Kaustav Kundu & Martin J. Land & Alberto Portioli-Staudacher & Jos A. C. Bokhorst, 2021. "Order review and release in make-to-order flow shops: analysis and design of new methods," Flexible Services and Manufacturing Journal, Springer, vol. 33(3), pages 750-782, September.
    5. Haeussler, Stefan & Stefan, Matthias & Schneckenreither, Manuel & Onay, Anita, 2021. "The lead time updating trap: Analyzing human behavior in capacitated supply chains," International Journal of Production Economics, Elsevier, vol. 234(C).
    6. Biswajit Sarkar & Bikash Koli Dey & Mitali Sarkar & Ali AlArjani, 2021. "A Sustainable Online-to-Offline (O2O) Retailing Strategy for a Supply Chain Management under Controllable Lead Time and Variable Demand," Sustainability, MDPI, vol. 13(4), pages 1-26, February.
    7. Stefan Haeussler & Philipp Neuner & Matthias Thürer, 2023. "Balancing earliness and tardiness within workload control order release: an assessment by simulation," Flexible Services and Manufacturing Journal, Springer, vol. 35(2), pages 487-508, June.
    8. Waseem Sajjad & Misbah Ullah & Razaullah Khan & Mubashir Hayat, 2022. "Developing a Comprehensive Shipment Policy through Modified EPQ Model Considering Process Imperfections, Transportation Cost, and Backorders," Logistics, MDPI, vol. 6(3), pages 1-20, June.

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