An intelligent fuzzy decision system for a flexible manufacturing system with multidecision points

Tung Sun Chan, H. K. Chan, A. Kazerooni

Research output: Journal article publicationJournal articleAcademic researchpeer-review

5 Citations (Scopus)

Abstract

This paper describes an intelligent fuzzy decision support system for real-time scheduling and dispatching of parts in a flexible manufacturing system (FMS), with alternative routing possibilities for all parts. A fuzzy logic approach is developed to improve the system performance by considering multiple performance measures and at multiple decision points. The characteristics of the system status, instead of parts, are fed back to assign priority to the parts waiting to be processed. A simulation model is developed and it is shown that the proposed intelligent fuzzy decision support system keeps all performance measures at a good level. The proposed intelligent system is a promising tool for dealing with scheduling FMSs, in contrast to traditional rules.
Original languageEnglish
Pages (from-to)1021-1031
Number of pages11
JournalProceedings of the Institution of Mechanical Engineers, Part B: Journal of Engineering Manufacture
Volume216
Issue number7
DOIs
Publication statusPublished - 7 Aug 2002
Externally publishedYes

Keywords

  • Flexible manufacturing system (FMS)
  • Fuzzy logic
  • Multicriteria
  • Multiple decision points
  • Simulation

ASJC Scopus subject areas

  • Industrial and Manufacturing Engineering
  • Mechanical Engineering

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