Dynamic lot sizing and scheduling in cellular manufacturing systems using hybrid simulation analytic model

dc.citation.epage260en_US
dc.citation.issueNumber4en_US
dc.citation.spage251en_US
dc.citation.volumeNumber2en_US
dc.contributor.authorAktürk, M. S.en_US
dc.contributor.authorDağlıoğlugil, O.en_US
dc.date.accessioned2019-02-12T08:25:32Z
dc.date.available2019-02-12T08:25:32Z
dc.date.issued1995en_US
dc.departmentDepartment of Industrial Engineeringen_US
dc.description.abstractIn most of the production systems, lot-sizing and scheduling decisions are made at different levels of hierarchy; although there is a strong interaction between these decisions. Furthermore, most of the existing models do not utilize the shop floor conditions in lot-sizing and scheduling decisions, even though such a decision might improve the system performance. In this study, a dynamic lot-sizing and scheduling algorithm is suggested for cellular manufacturing systems, which utilizes a hybrid simulation/analytic modeling approach. The performance of the proposed algorithm is tested against the push and pull systems under different shop floor conditions, and shown that we can improve tardiness, flow time and makespan criteria when comparedto other systems.en_US
dc.identifier.eissn1943-670X
dc.identifier.issn1072-4761
dc.identifier.urihttp://hdl.handle.net/11693/49299
dc.language.isoEnglishen_US
dc.publisherInternational Journal of Industrial Engineeringen_US
dc.source.titleInternational Journal of Industrial Engineeringen_US
dc.subjectLot-sizingen_US
dc.subjectSchedulingen_US
dc.subjectGroup technologyen_US
dc.subjectCellular manufacturingen_US
dc.subjectSimulationen_US
dc.titleDynamic lot sizing and scheduling in cellular manufacturing systems using hybrid simulation analytic modelen_US
dc.typeArticleen_US
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