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dc.contributor.authorAltuntas S.
dc.contributor.authorDereli T.
dc.contributor.authorSelim H.
dc.date.accessioned20.04.201910:49:12
dc.date.accessioned2019-04-20T21:44:21Z
dc.date.available20.04.201910:49:12
dc.date.available2019-04-20T21:44:21Z
dc.date.issued2013
dc.identifier.issn1748-5037
dc.identifier.urihttps://dx.doi.org/10.1504/IJISE.2013.056676
dc.identifier.urihttps://hdl.handle.net/20.500.12403/838
dc.description.abstractThis study aims to propose new solution approaches based on fuzzy weighted association rules for facility layout problem in a cellular manufacturing system. The facility layout problem under concern has two important aspects, namely; fuzzy product route and fuzzy machine weight. Number of machine types as well as the number of machines in each type is determined in order to define a fuzzy product route. A fuzzy set is then assigned for each machine type to match them with appropriate products. Alternative routes for each product and machine weights are defined by fuzzy functions. Market demand is also used to assign weights to the machines. Three solution approaches, namely fuzzy weighted association rule mining (FWARM), Gyenesei's weighted quantitative association rules (WQAR) and normalised weighted association rule mining (NWARM) based approaches, are proposed in this study. To the authors' best knowledge, this is the first attempt which considers fuzzy weighted association rule-based data mining approaches to the facility layout problem. An illustrative example is presented to demonstrate the usefulness of the proposed approaches. Copyright © 2013 Inderscience Enterprises Ltd.en_US
dc.language.isoengen_US
dc.relation.isversionof10.1504/IJISE.2013.056676
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.subjectCellular manufacturing
dc.subjectData mining
dc.subjectFacility layout
dc.subjectFuzzy logic
dc.subjectFuzzy weighted association rule mining
dc.subjectFWARM
dc.subjectNormalised weighted association rule mining
dc.subjectNWARM
dc.subjectWARM
dc.subjectWeighted association rule
dc.subjectWeighted quantitative association rules
dc.subjectWQAR
dc.subjectFacility layout
dc.subjectFWARM
dc.subjectNWARM
dc.subjectQuantitative association rules
dc.subjectWARM
dc.subjectWeighted association rules
dc.subjectWQAR
dc.subjectCellular manufacturing
dc.subjectData mining
dc.subjectFuzzy logic
dc.subjectFuzzy sets
dc.subjectPlant layout
dc.subjectAssociation rules
dc.subjectCellular manufacturing
dc.subjectData mining
dc.subjectFacility layout
dc.subjectFuzzy logic
dc.subjectFuzzy weighted association rule mining
dc.subjectFWARM
dc.subjectNormalised weighted association rule mining
dc.subjectNWARM
dc.subjectWARM
dc.subjectWeighted association rule
dc.subjectWeighted quantitative association rules
dc.subjectWQAR
dc.subjectFacility layout
dc.subjectFWARM
dc.subjectNWARM
dc.subjectQuantitative association rules
dc.subjectWARM
dc.subjectWeighted association rules
dc.subjectWQAR
dc.subjectCellular manufacturing
dc.subjectData mining
dc.subjectFuzzy logic
dc.subjectFuzzy sets
dc.subjectPlant layout
dc.subjectAssociation rules
dc.titleFuzzy weighted association rule based solution approaches to facility layout problem in cellular manufacturing systemen_US
dc.typeconferenceObjecten_US
dc.relation.journalInternational Journal of Industrial and Systems Engineeringen_US
dc.contributor.departmentBayburt Universityen_US
dc.contributor.authorID43661044500
dc.contributor.authorID7003495303
dc.contributor.authorID7005231608
dc.identifier.volume15
dc.identifier.issue3
dc.identifier.startpage253
dc.identifier.endpage271
dc.relation.publicationcategoryKonferans Öğesi - Uluslararası - Kurum Öğretim Elemanıen_US


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