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Performance analysis of a flexible flow shop with random and state-dependent batch transport

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  • Hui-Yu Zhang
  • Shao-Hui Xi
  • Qing-Xin Chen
  • James MacGregor Smith
  • Ning Mao
  • Xiang Li

Abstract

In many manufacturing contexts, performance modelling of an integrated production and material handling system is a complex problem. Existing research lacks an in-depth consideration of the integration of these two areas. A flexible flow shop with random and state-dependent batch transport, where the batch size depends on the number of jobs in the buffers and the capacity of automated guided vehicles, is considered and modelled as an open queueing network with blocking. A decomposition method of state space is proposed for computing system performance measures. The accuracy and efficiency of the proposed method are demonstrated by comparing the results with simulations from numerical experiments. Meanwhile, the properties of the system, especially for material handling processes, are investigated and analyzed according to the experiments. The results of this paper can be used as a basis for system design, analysis, and resource planning.

Suggested Citation

  • Hui-Yu Zhang & Shao-Hui Xi & Qing-Xin Chen & James MacGregor Smith & Ning Mao & Xiang Li, 2021. "Performance analysis of a flexible flow shop with random and state-dependent batch transport," International Journal of Production Research, Taylor & Francis Journals, vol. 59(4), pages 982-1002, February.
    • Handle: RePEc:taf:tprsxx:v:59:y:2021:i:4:p:982-1002
    DOI: 10.1080/00207543.2020.1712488
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    Cited by:

    1. Amjath, Mohamed & Kerbache, Laoucine & Smith, James MacGregor & Elomri, Adel, 2022. "Fleet sizing of trucks for an inter-facility material handling system using closed queueing networks," Operations Research Perspectives, Elsevier, vol. 9(C).

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