Machine selection in flexible manufacturing cell: A fuzzy multiple attribute decision-making approach

Tai-Yue Wang, Chia Fong Shaw, Yueh Li Chen

Research output: Contribution to journalArticle

67 Citations (Scopus)

Abstract

Flexible manufacturing cells (FMC) have been used as a tool to implement flexible manufacturing processes to increase the competitiveness of manufacturing systems. In implementing an FMC, decision-makers encounter the machine selection problem including attributes, e.g. machine type, cost, number of machines, floor space and planned expenditures. This paper proposes a fuzzy multiple attribute decision-making (FMADM) model to assist the decision-maker to deal with the machine selection problem for an FMC realistically and economically. In addition, the membership functions of weights for those attributes are determined in accordance with their distinguishability and robustness when the ranking is performed.

Original languageEnglish
Pages (from-to)2079-2097
Number of pages19
JournalInternational Journal of Production Research
Volume38
Issue number9
DOIs
Publication statusPublished - 2000 Jun 15

All Science Journal Classification (ASJC) codes

  • Strategy and Management
  • Management Science and Operations Research
  • Industrial and Manufacturing Engineering

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