Real time fuzzy scheduling rules in FMS

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

Research output: Journal article publicationJournal articleAcademic researchpeer-review

34 Citations (Scopus)

Abstract

This paper presents a real-time fuzzy expert system to scheduling parts for a flexible manufacturing system (FMS). First, some vagueness and uncertainties in scheduling rules are indicated and then a fuzzy-logic approach is proposed to improve the system performance by considering multiple performance measures. This approach focuses on characteristics of the system's status, instead of parts, to assign priorities to the parts waiting to be processed. Secondly, a simulation model is developed and it has shown that the proposed fuzzy logic-based decision making process keeps all performance measures at a good level. The proposed approach provides a promising alternative framework in solving scheduling problems in FMSs, in contrast to traditional rules, by making use of intelligent tools.
Original languageEnglish
Pages (from-to)341-350
Number of pages10
JournalJournal of Intelligent Manufacturing
Volume14
Issue number3-4
DOIs
Publication statusPublished - 1 Jun 2003
Externally publishedYes

Keywords

  • Expert systems
  • Flexible manufacturing system (FMS)
  • Fuzzy
  • Simulation

ASJC Scopus subject areas

  • Industrial and Manufacturing Engineering
  • Artificial Intelligence

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