Fuzzy-based reliability evaluation for a labor-intensive manufacturing system

Ping Chen Chang*, Yi-Kuei Lin, Kai Jen Hsueh

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

This paper proposes a fuzzy-based reliability evaluation for a labor-intensive manufacturing system considering repair. Such a manufacturing system is constructed as a labor-intensive manufacturing network (LMN) to deal with the workstations consisting of laborers. Based on the concept of fuzzy multistate, each workstation-reliability is measured by three fuzzy membership functions for workload state. Subsequently, the system reliability is evaluated in terms of all workstation-reliabilities, in which the system reliability is derived by fuzzy intersection. That is, the system reliability is a fuzzy membership function that the LMN performs reliable to satisfy demand. A footwear manufacturing system is utilized to illustrate the proposed methodology.

Original languageEnglish
Title of host publicationRQD 2014 - Proceedings - 20th ISSAT International Conference Reliability and Quality in Design
EditorsHoang Pham
PublisherInternational Society of Science and Applied Technologies
Pages174-177
Number of pages4
ISBN (Electronic)9780991057603
StatePublished - 1 Jan 2014
Event20th ISSAT International Conference Reliability and Quality in Design, RQD 2014 - Seattle, United States
Duration: 7 Aug 20149 Aug 2014

Publication series

NameRQD 2014 - Proceedings - 20th ISSAT International Conference Reliability and Quality in Design

Conference

Conference20th ISSAT International Conference Reliability and Quality in Design, RQD 2014
CountryUnited States
CitySeattle
Period7/08/149/08/14

Keywords

  • Fuzzy multistate
  • Labor-intensive manufacturing network
  • Repair
  • System reliability

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