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A simulation study of CONWIP assembly with multi-loop in mass production, multi-products and low volume and OKP environments

Author

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  • Guodong Huang
  • Jie Chen
  • Xiuli Wang
  • Yiqun Shi

Abstract

This paper studies the performance of constant work-in-process (CONWIP) assembly system with multi-loop in mass production, multi-products and low volume and one-of-a-kind production (OKP) environments using simulation. We propose five basic design patterns of CONWIP loop and develop eight control policies of CONWIP loop based on the design pattern for standard assembly system. The performance of developed loop policies is evaluated in three production environments. In particular, control policies of CONWIP loop in OKP environment provide a valuable reference for OKP shop floor controlling. A heuristic algorithm of searching work-in-process (WIP) upper bound, the deadlock phenomenon in CONWIP assembly system and suggestion are introduced specifically. The summary of CONWIP installation guidelines in the mixed assembly system can apply CONWIP theory to practise.

Suggested Citation

  • Guodong Huang & Jie Chen & Xiuli Wang & Yiqun Shi, 2015. "A simulation study of CONWIP assembly with multi-loop in mass production, multi-products and low volume and OKP environments," International Journal of Production Research, Taylor & Francis Journals, vol. 53(14), pages 4160-4175, July.
    • Handle: RePEc:taf:tprsxx:v:53:y:2015:i:14:p:4160-4175
    DOI: 10.1080/00207543.2014.980458
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    Cited by:

    1. Fernando José Gómez Paredes & Moacir Godinho Filho & Matthias Thürer & Nuno O. Fernandes & Charbel José Chiappeta Jabbour, 2022. "Factors for choosing production control systems in make-to-order shops: a systematic literature review," Journal of Intelligent Manufacturing, Springer, vol. 33(3), pages 639-674, March.
    2. Wolfgang Seiringer & Balwin Bokor & Klaus Altendorfer, 2024. "Evaluating Production Planning and Control Systems in Different Environments: A Comparative Simulation Study," Papers 2405.02015, arXiv.org, revised Nov 2024.

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