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Mathematical models for real-world production planning problems with sequence-dependent set-up costs

hal.structure.identifierLaboratoire d'analyse et modélisation de systèmes pour l'aide à la décision [LAMSADE]
dc.contributor.authorShen, Xueying*
hal.structure.identifierautre
dc.contributor.authorFocacci, Filippo*
hal.structure.identifierLaboratoire d'analyse et modélisation de systèmes pour l'aide à la décision [LAMSADE]
dc.contributor.authorFurini, Fabio*
hal.structure.identifierLaboratoire d'analyse et modélisation de systèmes pour l'aide à la décision [LAMSADE]
dc.contributor.authorGabrel, Virginie*
hal.structure.identifierautre
dc.contributor.authorGodard, Daniel*
dc.date.accessioned2016-02-23T10:45:45Z
dc.date.available2016-02-23T10:45:45Z
dc.date.issued2015-02
dc.identifier.urihttps://basepub.dauphine.fr/handle/123456789/15398
dc.language.isoenen
dc.subjectproduction planningen
dc.subjectset-up costsen
dc.subject.classificationjelD.D2.D24en
dc.titleMathematical models for real-world production planning problems with sequence-dependent set-up costsen
dc.typeCommunication / Conférence
dc.description.abstractenProduction Planning(PP) aims at making production decisions optimizing the Manufactur-ing and Supply Chain performances.Given a limited amount of manufacturing resources, raw materials, and inventory space,PP minimizes the overall manufacturing and supply chain costs while meeting service levelrequirements and obeying operational constraints. In this research we focus on the sequence-dependent set-up costs which occur when we change a product production during manufac-turing. In real-world manufacturing, this cost typically depends on both the predecessor andcurrent production. The set-up costs are also called clean-up costs, changeover costs or start-upcosts (in the literature). These costs are one important part of the production costs for manyreal-world production systems. The set-up costs optimization may dramatically affect the qual-ity of the production plans in terms of machine operational efficiency, cycle time, service leveland inventory turns. Finally, different levels of details are typically taken into considerationwhich largely affect the complexity of the resulting models. In this work, we study a real-worldPP problem with sequence-dependent set-up costs and we propose different formulations withdifferent levels of details of the operational constraints.en
dc.identifier.citationpages2en
dc.relation.ispartofdate2015
dc.identifier.urlsitehttp://roadef2015.lsis.org/articles/191.pdfen
dc.relation.conftitleROADEF 2015en
dc.relation.confdate2015-02
dc.relation.confcityMarseilleen
dc.relation.confcountryFranceen
dc.relation.forthcomingnonen
dc.description.ssrncandidatenonen
dc.description.halcandidateouien
dc.description.readershiprechercheen
dc.description.audienceInternationalen
dc.relation.Isversionofjnlpeerreviewednon
dc.date.updated2016-02-23T10:29:14Z
hal.identifierhal-01277848*
hal.version1*
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hal.update.actionupdateFiles*
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