A fuzzy-based assessment model for a labour-intensive manufacturing system with repair

Ping Chen Chang, Yi-Kuei Lin*

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

3 Scopus citations

Abstract

This paper presents a novel assessment model for a labour-intensive manufacturing system with repairs as a consideration. The proposed model integrates a multistate network construction and reliability evaluation procedure. Such a manufacturing system is first constructed as a labour-intensive manufacturing network (LMN) to deal with the workstations comprising operators. We further define the workload state of a workstation by three fuzzy membership functions for ‘under-normal-workload’, ‘normal-workload’, and ‘over-normal-workload’. Hence, the workload of a workstation is fuzzy multistate and the workstation reliability can be measured by three fuzzy membership functions. Subsequently, the system reliability is evaluated in terms of all workstation reliabilities and is derived by fuzzy intersection. The reliability analysis can help the production manager to understand the demand satisfaction of an LMN. A case-based example of a footwear manufacturing system is utilised to validate the applicability of the proposed assessment model.

Original languageEnglish
Pages (from-to)153-163
Number of pages11
JournalInternational Journal of Systems Science: Operations and Logistics
Volume1
Issue number3
DOIs
StatePublished - 3 Jul 2014

Keywords

  • fuzzy multistate
  • labour-intensive manufacturing network
  • operator
  • repair
  • system reliability

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