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Order release optimisation for time-dependent and stochastic manufacturing systems

Author

Listed:
  • Hubert Missbauer
  • Raik Stolletz
  • Manuel Schneckenreither

Abstract

Order release optimisation is essential in production planning, especially in discrete manufacturing. Order release planning models with load-dependent lead times must anticipate the time-dependent work-in-process and output for any given release schedule and thus require an anticipation model that approximates the time-dependent behaviour of queueing systems. We present a generic optimisation model for order release planning in stochastic, non-stationary manufacturing systems that includes a well-defined interface for the anticipation model. We develop two stationary backlog carryover (SBC) approaches to approximate time-dependent queueing behaviour and prove their consistency with the order release model. The resulting nonlinear programming model is shown to be a special case of the well-known clearing function models. A numerical study demonstrates that the optimised order releases for different demand patterns are close to the optimum that results from simulation-based optimisation even for extreme demand and release patterns. The resulting output closely matches the simulated output with some deviations.

Suggested Citation

  • Hubert Missbauer & Raik Stolletz & Manuel Schneckenreither, 2024. "Order release optimisation for time-dependent and stochastic manufacturing systems," International Journal of Production Research, Taylor & Francis Journals, vol. 62(7), pages 2415-2434, April.
    • Handle: RePEc:taf:tprsxx:v:62:y:2024:i:7:p:2415-2434
    DOI: 10.1080/00207543.2023.2217301
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