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Fuzzy-based system reliability of a labour-intensive manufacturing network with repair

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  • Ping-Chen Chang
  • Yi-Kuei Lin

Abstract

This paper presents a fuzzy-based assessment model to evaluate system reliability of a labour-intensive manufacturing system with repair actions. Due to the uncertainty in human performance, labour-intensive manufacturing systems must determine the capacity of each labourer in order to accurately characterise the performance of the systems. Therefore, we model such a manufacturing system as a fuzzy multi-state network in order to characterise the labourers’ influence on workstation performance. First, the workstation reliability is defined according to the loading state by three fuzzy membership functions, namely ‘under loading’, ‘normal loading’ and ‘over loading’, respectively. The system reliability is subsequently evaluated with fuzzy intersection operations in terms of these workstation reliabilities. Thus, the system reliability is defined as a fuzzy membership function to assess whether the manufacturing system performance is sufficient to satisfy the demand reliably. A case study of a footwear manufacturing system is illustrated to explain the proposed model. Furthermore, we apply the proposed model to a non-labour-intensive manufacturing network in order to validate the applicability to this class of systems.

Suggested Citation

  • Ping-Chen Chang & Yi-Kuei Lin, 2015. "Fuzzy-based system reliability of a labour-intensive manufacturing network with repair," International Journal of Production Research, Taylor & Francis Journals, vol. 53(7), pages 1980-1995, April.
    • Handle: RePEc:taf:tprsxx:v:53:y:2015:i:7:p:1980-1995
    DOI: 10.1080/00207543.2014.944279
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    Cited by:

    1. Yi-Kuei Lin & Cheng-Fu Huang & Yi-Chieh Liao, 2019. "Reliability of a stochastic intermodal logistics network under spoilage and time considerations," Annals of Operations Research, Springer, vol. 277(1), pages 95-118, June.
    2. Veronika Yu. Zemzyulina & Natalya R. Kelchevskaya & Ilia M. Chernenko, 2023. "The Impact of Sustainable Development and Reliability on the Performance of Russian Enterprises in the Context of an Economic Fragmentation," Journal of Applied Economic Research, Graduate School of Economics and Management, Ural Federal University, vol. 22(4), pages 1056-1086.

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