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Simulation in Production Planning: An Overview with Emphasis on Recent Developments in Cycle Time Estimation

In: Planning Production and Inventories in the Extended Enterprise

Author

Listed:
  • Bruce E. Ankenman

    (Northwestern University)

  • Jennifer M. Bekki
  • John Fowler
  • Gerald T. Mackulak
  • Barry L. Nelson
  • Feng Yang

Abstract

In today’s business environment, cycle time is a critical performance measure for manufacturing, and accurate estimation of cycle time–throughput (CT–TH) relationships plays an important role in successful production planning. To efficiently generate such comprehensive performance profiles, we propose a metamodeling approach, which integrates discrete-event simulation, adaptive statistical methods, and analytical queueing analysis. The resulting metamodels are mathematical equations quantifying the CT–TH relationships, and they have the “what-if” capability of tractable queueing models as well as the high fidelity of detailed simulation. In this chapter, methods for metamodeling CT–TH profiles are described for both single and multiproduct environments assuming that the manufacturing system is operated in steady state. As a future direction, the investigation of transient CT–TH behavior is also briefly discussed.

Suggested Citation

  • Bruce E. Ankenman & Jennifer M. Bekki & John Fowler & Gerald T. Mackulak & Barry L. Nelson & Feng Yang, 2011. "Simulation in Production Planning: An Overview with Emphasis on Recent Developments in Cycle Time Estimation," 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 565-591, Springer.
    • Handle: RePEc:spr:isochp:978-1-4419-6485-4_19
    DOI: 10.1007/978-1-4419-6485-4_19
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    Citations

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    Cited by:

    1. Batur, Demet & Bekki, Jennifer M. & Chen, Xi, 2018. "Quantile regression metamodeling: Toward improved responsiveness in the high-tech electronics manufacturing industry," European Journal of Operational Research, Elsevier, vol. 264(1), pages 212-224.
    2. Cannella, Salvatore & Dominguez, Roberto & Ponte, Borja & Framinan, Jose M., 2018. "Capacity restrictions and supply chain performance: Modelling and analysing load-dependent lead times," International Journal of Production Economics, Elsevier, vol. 204(C), pages 264-277.

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