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From loop structure to policy-making: a CONWIP design framework for hybrid flow shop control in one-of-a-kind production environment

Author

Listed:
  • Guodong Huang
  • Jie Chen
  • Xiuli Wang
  • Yiqun Shi
  • Houping Tian

Abstract

A feasible constant work in process (CONWIP) policy can guide developer to better implement CONWIP system. The feasible policy should be selected from alternatives by evaluation. Therefore, how to generate more than one CONWIP alternative policy to evaluate is an inevitable problem in CONWIP practice. From the perspective of loop structure, we propose CONWIP design framework (CDF) which is a systematic design approach to obtain CONWIP alternative policies. The basic concepts and components for CDF are discussed in this paper. Based on CDF, we make 10 CONWIP alternative policies for hybrid flow shop in one-of-a-kind production environment, and these alternative policies are evaluated by simulation. The simulation result implies that (i) the CONWIP alternative policy with robustness has the potential to cope with more fluctuations in high-variety production environment; (ii) a better design for CONWIP policy will be able to enhance the system performance in practice; and (iii) the loop structure can serve as a parameter of CONWIP.

Suggested Citation

  • Guodong Huang & Jie Chen & Xiuli Wang & Yiqun Shi & Houping Tian, 2017. "From loop structure to policy-making: a CONWIP design framework for hybrid flow shop control in one-of-a-kind production environment," International Journal of Production Research, Taylor & Francis Journals, vol. 55(12), pages 3374-3391, June.
    • Handle: RePEc:taf:tprsxx:v:55:y:2017:i:12:p:3374-3391
    DOI: 10.1080/00207543.2016.1234723
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    Cited by:

    1. Peng Lin & Leidi Shen & Zhiheng Zhao & George Q. Huang, 2019. "Graduation manufacturing system: synchronization with IoT-enabled smart tickets," Journal of Intelligent Manufacturing, Springer, vol. 30(8), pages 2885-2900, December.
    2. Guodong Huang & Jie Chen & Yacob Khojasteh, 2021. "A cyber-physical system deployment based on pull strategies for one-of-a-kind production with limited resources," Journal of Intelligent Manufacturing, Springer, vol. 32(2), pages 579-596, February.
    3. 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.

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