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dc.contributor.authorToy, A.Ö.en_US
dc.contributor.authorBerk, E.en_US
dc.date.accessioned2016-02-08T12:07:29Z
dc.date.available2016-02-08T12:07:29Z
dc.date.issued2013en_US
dc.identifier.issn9255273en_US
dc.identifier.urihttp://hdl.handle.net/11693/27981
dc.description.abstractWe consider the dynamic lot sizing problem for a warm/cold process where the process can be kept warm at a unit variable cost for the next period if more than a prespecified quantity has been produced. Exploiting the optimal production plan structures, we develop nine rule-based forward solution heuristics. Proposed heuristics are modified counterparts of the heuristics developed previously for the classical dynamic lot sizing problem. In a numerical study, we investigate the performance of the proposed heuristics and identify operating environment characteristics where each particular heuristic is the best or among the best. Moreover, for a warm/cold process setting, our numerical studies indicate that, when used on a rolling horizon basis, a heuristic may also perform better costwise than a solution obtained using a dynamic programming approach. © 2012 Elsevier B.V.en_US
dc.language.isoEnglishen_US
dc.source.titleInternational Journal of Production Economicsen_US
dc.relation.isversionofhttp://dx.doi.org/10.1016/j.ijpe.2012.09.006en_US
dc.subjectHeuristicsen_US
dc.subjectLot sizingen_US
dc.subjectRolling horizonen_US
dc.subjectWarm/cold processen_US
dc.subjectClassical dynamicsen_US
dc.subjectDynamic lot-sizingen_US
dc.subjectHeuristicsen_US
dc.subjectLot sizingen_US
dc.subjectOperating environmenten_US
dc.subjectOptimal production plansen_US
dc.subjectProcess settingsen_US
dc.subjectRolling horizonen_US
dc.subjectCost accountingen_US
dc.subjectProduction controlen_US
dc.subjectStructural optimizationen_US
dc.titleDynamic lot sizing for a warm/cold process: Heuristics and insightsen_US
dc.typeConference Paperen_US
dc.departmentFaculty of Industrial Engineering Department, Istanbul Bilgi University, 34060 Eyüp, Istanbul, Turkey; Faculty of Business Administration, Bilkent University, 06800 Bilkent, Ankara, Turkeyen_US
dc.citation.spage53en_US
dc.citation.epage66en_US
dc.citation.volumeNumber145en_US
dc.citation.issueNumber1en_US
dc.identifier.doi10.1016/j.ijpe.2012.09.006en_US


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