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

TitleAn intelligent fuzzy decision system for a flexible manufacturing system with multidecision points
Authors
KeywordsComputer simulation
Decision support systems
Fuzzy sets
Intelligent control
Mathematical models
Issue Date2002
PublisherProfessional Engineering Publishing Ltd. The Journal's web site is located at http://pib.sagepub.com/
Citation
Institution of Mechanical Engineers Proceedings Part B: Journal of Engineering Manufacture, 2002, v. 216 n. 7, p. 1021-1031 How to Cite?
AbstractThis 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.
Persistent Identifierhttp://hdl.handle.net/10722/74385
ISSN
2015 Impact Factor: 0.978
2015 SCImago Journal Rankings: 0.541

 

DC FieldValueLanguage
dc.contributor.authorChan, FTS-
dc.contributor.authorChan, HK-
dc.contributor.authorKazerooni, A-
dc.date.accessioned2010-09-06T07:00:48Z-
dc.date.available2010-09-06T07:00:48Z-
dc.date.issued2002-
dc.identifier.citationInstitution of Mechanical Engineers Proceedings Part B: Journal of Engineering Manufacture, 2002, v. 216 n. 7, p. 1021-1031-
dc.identifier.issn0954-4054-
dc.identifier.urihttp://hdl.handle.net/10722/74385-
dc.description.abstractThis 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.-
dc.languageeng-
dc.publisherProfessional Engineering Publishing Ltd. The Journal's web site is located at http://pib.sagepub.com/-
dc.relation.ispartofInstitution of Mechanical Engineers Proceedings Part B: Journal of Engineering Manufacture-
dc.subjectComputer simulation-
dc.subjectDecision support systems-
dc.subjectFuzzy sets-
dc.subjectIntelligent control-
dc.subjectMathematical models-
dc.titleAn intelligent fuzzy decision system for a flexible manufacturing system with multidecision points-
dc.typeArticle-
dc.identifier.emailChan, FTS: ftschan@hkucc.hku.hk-
dc.identifier.authorityChan, FTS=rp00090-
dc.identifier.doi10.1243/09544050260174210-
dc.identifier.scopuseid_2-s2.0-0036316202-
dc.identifier.hkuros76063-
dc.identifier.volume216-
dc.identifier.issue7-
dc.identifier.spage1021-
dc.identifier.epage1031-
dc.publisher.placeUnited Kingdom-

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