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Article: Ant colony optimization approach to a fuzzy goal programming model for a machine tool selection and operation allocation problem in an FMS

TitleAnt colony optimization approach to a fuzzy goal programming model for a machine tool selection and operation allocation problem in an FMS
Authors
KeywordsAnt colony optimization
Flexible manufacturing systems
Fuzzy goal programming
Machine tool selection
Operation allocation
Production planning
Issue Date2006
PublisherPergamon. The Journal's web site is located at http://www.elsevier.com/locate/rcim
Citation
Robotics And Computer-Integrated Manufacturing, 2006, v. 22 n. 4, p. 353-362 How to Cite?
AbstractDue to the global competition in manufacturing environment, firms are forced to consider increasing the quality and responsiveness to customization, while decreasing costs. The evolution of flexible manufacturing systems (FMSs) offers great potential for increasing flexibility and changing the basis of competition by ensuring both cost effective and customized manufacturing at the same time. Some of the important planning problems that need realistic modelling and quicker solution especially in automated manufacturing systems have assumed greater significance in the recent past. The language used by the industrial workers is fuzzy in nature, which results in failure of the models considering deterministic situations. The situation in the real life shop floor demands to adopt fuzzy-based multi-objective goals to express the target set by the management. This paper presents a fuzzy goal programming approach to model the machine tool selection and operation allocation problem of FMS. An ant colony optimization (ACO)-based approach is applied to optimize the model and the results of the computational experiments are reported. © 2005 Elsevier Ltd. All rights reserved.
Persistent Identifierhttp://hdl.handle.net/10722/74252
ISSN
2015 Impact Factor: 2.077
2015 SCImago Journal Rankings: 1.621
ISI Accession Number ID
References

 

DC FieldValueLanguage
dc.contributor.authorChan, FTSen_HK
dc.contributor.authorSwarnkar, Ren_HK
dc.date.accessioned2010-09-06T06:59:27Z-
dc.date.available2010-09-06T06:59:27Z-
dc.date.issued2006en_HK
dc.identifier.citationRobotics And Computer-Integrated Manufacturing, 2006, v. 22 n. 4, p. 353-362en_HK
dc.identifier.issn0736-5845en_HK
dc.identifier.urihttp://hdl.handle.net/10722/74252-
dc.description.abstractDue to the global competition in manufacturing environment, firms are forced to consider increasing the quality and responsiveness to customization, while decreasing costs. The evolution of flexible manufacturing systems (FMSs) offers great potential for increasing flexibility and changing the basis of competition by ensuring both cost effective and customized manufacturing at the same time. Some of the important planning problems that need realistic modelling and quicker solution especially in automated manufacturing systems have assumed greater significance in the recent past. The language used by the industrial workers is fuzzy in nature, which results in failure of the models considering deterministic situations. The situation in the real life shop floor demands to adopt fuzzy-based multi-objective goals to express the target set by the management. This paper presents a fuzzy goal programming approach to model the machine tool selection and operation allocation problem of FMS. An ant colony optimization (ACO)-based approach is applied to optimize the model and the results of the computational experiments are reported. © 2005 Elsevier Ltd. All rights reserved.en_HK
dc.languageengen_HK
dc.publisherPergamon. The Journal's web site is located at http://www.elsevier.com/locate/rcimen_HK
dc.relation.ispartofRobotics and Computer-Integrated Manufacturingen_HK
dc.subjectAnt colony optimizationen_HK
dc.subjectFlexible manufacturing systemsen_HK
dc.subjectFuzzy goal programmingen_HK
dc.subjectMachine tool selectionen_HK
dc.subjectOperation allocationen_HK
dc.subjectProduction planningen_HK
dc.titleAnt colony optimization approach to a fuzzy goal programming model for a machine tool selection and operation allocation problem in an FMSen_HK
dc.typeArticleen_HK
dc.identifier.emailChan, FTS: ftschan@hkucc.hku.hken_HK
dc.identifier.authorityChan, FTS=rp00090en_HK
dc.description.naturelink_to_subscribed_fulltext-
dc.identifier.doi10.1016/j.rcim.2005.08.001en_HK
dc.identifier.scopuseid_2-s2.0-33644751275en_HK
dc.identifier.hkuros119211en_HK
dc.relation.referenceshttp://www.scopus.com/mlt/select.url?eid=2-s2.0-33644751275&selection=ref&src=s&origin=recordpageen_HK
dc.identifier.volume22en_HK
dc.identifier.issue4en_HK
dc.identifier.spage353en_HK
dc.identifier.epage362en_HK
dc.identifier.isiWOS:000236648700009-
dc.publisher.placeUnited Kingdomen_HK
dc.identifier.scopusauthoridChan, FTS=7202586517en_HK
dc.identifier.scopusauthoridSwarnkar, R=8454361100en_HK

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