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dc.contributor.authorAktürk, M. S.en_US
dc.contributor.authorTürkcan, A.en_US
dc.date.accessioned2016-02-08T10:38:03Z
dc.date.available2016-02-08T10:38:03Z
dc.date.issued2000en_US
dc.identifier.issn0020-7543
dc.identifier.urihttp://hdl.handle.net/11693/25033
dc.description.abstractWe propose an integrated algorithm that will solve the part-family and machine-cell formation problem by simultaneously considering the within-cell layout problem. To the best of our knowledge, this is the first study that considers the efficiency of both individual cells and the overall system in monetary terms. Each cell should make at least a certain amount of profit to attain self-sufficiency, while we maximize the total profit of the system using a holonistic approach. The proposed algorithm provides two alternative solutions; one with independent cells and the other one with inter-cell movement. Our computational experiments indicate that the results are very encouraging for a set of randomly generated problems.en_US
dc.language.isoEnglishen_US
dc.source.titleInternational Journal of Production Researchen_US
dc.relation.isversionofhttp://dx.doi.org/10.1080/00207540050028124en_US
dc.subjectAlgorithmsen_US
dc.subjectCostsen_US
dc.subjectGroup technologyen_US
dc.subjectRandom processesen_US
dc.subjectSystems analysisen_US
dc.subjectHolonistic approachen_US
dc.subjectCellular manufacturingen_US
dc.titleCellular manufacturing system design using a holonistic approachen_US
dc.typeArticleen_US
dc.departmentDepartment of Industrial Engineeringen_US
dc.citation.spage2327en_US
dc.citation.epage2347en_US
dc.citation.volumeNumber38en_US
dc.citation.issueNumber10en_US
dc.identifier.doi10.1080/00207540050028124en_US
dc.publisherTaylor & Francisen_US


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