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Article: Real time fuzzy scheduling rules in FMS

TitleReal time fuzzy scheduling rules in FMS
Authors
KeywordsExpert systems
Flexible manufacturing system (FMS)
Fuzzy
Simulation
Issue Date2003
PublisherSpringer New York LLC. The Journal's web site is located at http://springerlink.metapress.com/openurl.asp?genre=journal&issn=0956-5515
Citation
Journal Of Intelligent Manufacturing, 2003, v. 14 n. 3-4, p. 341-350 How to Cite?
AbstractThis 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.
Persistent Identifierhttp://hdl.handle.net/10722/74451
ISSN
2015 Impact Factor: 1.995
2015 SCImago Journal Rankings: 1.397
ISI Accession Number ID
References

 

DC FieldValueLanguage
dc.contributor.authorChan, FTSen_HK
dc.contributor.authorChan, HKen_HK
dc.contributor.authorKazerooni, Aen_HK
dc.date.accessioned2010-09-06T07:01:27Z-
dc.date.available2010-09-06T07:01:27Z-
dc.date.issued2003en_HK
dc.identifier.citationJournal Of Intelligent Manufacturing, 2003, v. 14 n. 3-4, p. 341-350en_HK
dc.identifier.issn0956-5515en_HK
dc.identifier.urihttp://hdl.handle.net/10722/74451-
dc.description.abstractThis 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.en_HK
dc.languageengen_HK
dc.publisherSpringer New York LLC. The Journal's web site is located at http://springerlink.metapress.com/openurl.asp?genre=journal&issn=0956-5515en_HK
dc.relation.ispartofJournal of Intelligent Manufacturingen_HK
dc.subjectExpert systemsen_HK
dc.subjectFlexible manufacturing system (FMS)en_HK
dc.subjectFuzzyen_HK
dc.subjectSimulationen_HK
dc.titleReal time fuzzy scheduling rules in FMSen_HK
dc.typeArticleen_HK
dc.identifier.openurlhttp://library.hku.hk:4550/resserv?sid=HKU:IR&issn=0956-5515&volume=14&issue=3&4&spage=341&epage=350&date=2003&atitle=Real+time+fuzzy+scheduling+rules+in+FMSen_HK
dc.identifier.emailChan, FTS: ftschan@hkucc.hku.hken_HK
dc.identifier.authorityChan, FTS=rp00090en_HK
dc.description.naturelink_to_subscribed_fulltext-
dc.identifier.doi10.1023/A:1024601826420en_HK
dc.identifier.scopuseid_2-s2.0-0042733401en_HK
dc.identifier.hkuros86006en_HK
dc.relation.referenceshttp://www.scopus.com/mlt/select.url?eid=2-s2.0-0042733401&selection=ref&src=s&origin=recordpageen_HK
dc.identifier.volume14en_HK
dc.identifier.issue3-4en_HK
dc.identifier.spage341en_HK
dc.identifier.epage350en_HK
dc.identifier.isiWOS:000184041000007-
dc.publisher.placeUnited Statesen_HK
dc.identifier.scopusauthoridChan, FTS=7202586517en_HK
dc.identifier.scopusauthoridChan, HK=13104905800en_HK
dc.identifier.scopusauthoridKazerooni, A=6602764241en_HK

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