A hierarchical model for the cell loading problem of cellular manufacturing systems

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dc.citation.epage2023en_US
dc.citation.issueNumber7en_US
dc.citation.spage2005en_US
dc.citation.volumeNumber36en_US
dc.contributor.authorAktürk, M. S.en_US
dc.contributor.authorWilson, G. R.en_US
dc.date.accessioned2016-02-08T10:44:53Z
dc.date.available2016-02-08T10:44:53Z
dc.date.issued1998en_US
dc.departmentDepartment of Industrial Engineeringen_US
dc.description.abstractA hierarchical cell loading approach is proposed to solve the production planning problem in cellular manufacturing systems. Our aim is to minimize the variable cost of production subject to production and inventory balance constraints for families and items, and capacity feasibility constraints for group technology cells and resources over the planning horizon. The computational results indicated that the proposed algorithm was very efficient in finding an optimum solution for a set of randomly generated problems.en_US
dc.description.provenanceMade available in DSpace on 2016-02-08T10:44:53Z (GMT). No. of bitstreams: 1 bilkent-research-paper.pdf: 70227 bytes, checksum: 26e812c6f5156f83f0e77b261a471b5a (MD5) Previous issue date: 1998en
dc.identifier.doi10.1080/002075498193084en_US
dc.identifier.issn0020-7543
dc.identifier.urihttp://hdl.handle.net/11693/25442
dc.language.isoEnglishen_US
dc.publisherTaylor & Francisen_US
dc.relation.isversionofhttp://dx.doi.org/10.1080/002075498193084en_US
dc.source.titleInternational Journal of Production Researchen_US
dc.subjectAlgorithmsen_US
dc.subjectCalculationsen_US
dc.subjectManufactureen_US
dc.subjectMathematical modelsen_US
dc.subjectPlanningen_US
dc.subjectProblem solvingen_US
dc.subjectRandom processesen_US
dc.subjectCell loadingen_US
dc.subjectCellular manufacturing systemen_US
dc.subjectGroup technologyen_US
dc.subjectHierarchical modelen_US
dc.subjectProduction planningen_US
dc.subjectProduction engineeringen_US
dc.titleA hierarchical model for the cell loading problem of cellular manufacturing systemsen_US
dc.typeArticleen_US

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