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

Ping Chen Chang, Yi-Kuei Lin*

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

10 Scopus citations


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.

Original languageEnglish
Pages (from-to)1980-1995
Number of pages16
JournalInternational Journal of Production Research
Issue number7
StatePublished - 3 Apr 2015


  • fuzzy multi-state network
  • labour-intensive
  • loading state
  • manufacturing
  • repair
  • system reliability
  • workstation reliability

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