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dc.contributor.authorGokbayrak, K.en_US
dc.contributor.authorSelvi, O.en_US
dc.date.accessioned2015-07-28T11:58:20Z
dc.date.available2015-07-28T11:58:20Z
dc.date.issued2008-12-22en_US
dc.identifier.issn0018-9286
dc.identifier.urihttp://hdl.handle.net/11693/11679
dc.description.abstractWe consider an optimization problem for deterministic flow shop systems of traditional machines with service costs penalizing small service times. A regular completion-time cost is also included so as to complete jobs as early as possible. The service times are assumed to be initially controllable, i.e., they are set at the startup time. Assuming convexity of the cost functions, we formulate a convex optimization problem after linearization of the max constraints. The numeric solution of this problem demands a large memory limiting the solvable system sizes. In order to relieve the memory bottleneck, some waiting characteristics of jobs served in fixed-service- time flow shop systems are exploited to result in a simpler equivalent convex optimization problem. These characteristics and the benefit of CNC machines are demonstrated in a numerical example.We also show that the simplifications result in significant improvements in solvable system sizes and solution times.en_US
dc.language.isoEnglishen_US
dc.source.titleIEEE Transactions on Automatic Controlen_US
dc.relation.isversionofhttp://dx.doi.org/10.1109/TAC.2008.2007153en_US
dc.subjectConvex Optimizationen_US
dc.subjectDiscrete Event Dynamic Systems, Manufacturingen_US
dc.subjectManufacturingen_US
dc.titleOptimization of a flow shop system of initially controllable machinesen_US
dc.typeArticleen_US
dc.departmentDepartment of Industrial Engineeringen_US
dc.citation.spage2665en_US
dc.citation.epage2668en_US
dc.citation.volumeNumber53en_US
dc.citation.issueNumber11en_US
dc.identifier.doi10.1109/TAC.2008.2007153en_US
dc.publisherIEEEen_US
dc.publisherInstitute of Electrical and Electronics Engineersen_US
dc.identifier.eissn1558-2256


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