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dc.creatorCorsano, Gabriela
dc.creatorMontagna, Jorge Marcelo
dc.creatorFerrara, Miguel Angel
dc.date.accessioned2018-09-07T17:49:04Z
dc.date.available2018-09-07T17:49:04Z
dc.date.issued2014
dc.identifier.urihttp://hdl.handle.net/20.500.12272/3088
dc.description.abstractWhen the markets become more competitive, the customer satisfac-tion level starts to be a more important factor. One of the principal components to achieve the customer satisfaction is to minimize the amount of defective or non-standard products. Therefore, it is convenient to consider decisions about product quality when the supply chain is planned. In this work, a mixed integer linear programming mathematical (MILP) model is developed for the supply chain planning, which determines impact of different decisions over the ex-pected number of defective products. These decisions are: supplier selection, inbound control methods selection, and production process selection. The ob-jective function is the cost minimization associated to the supply chain plan-ning.es_ES
dc.formatapplication/pdf
dc.language.isoenges_ES
dc.rightsinfo:eu-repo/semantics/openAccesses_ES
dc.rights.urihttp://creativecommons.org/publicdomain/zero/1.0/*
dc.subjectCadena de suministroses_ES
dc.subjectSupply chaines_ES
dc.subjectProductos defectuososes_ES
dc.subjectDefective productses_ES
dc.subjectCustomer satisfactiones_ES
dc.subjectPlanninges_ES
dc.titleSupply chain planning considering the production of defective productses_ES
dc.typeinfo:eu-repo/semantics/conferenceObjectes_ES
dc.description.affiliationFil: UTN. Facultad Regional Santa Fees_ES
dc.description.peerreviewedPeer Reviewedes_ES
dc.relation.projectid"Integración de sistemas soporte de decisión para la gestión óptima de la cadena de suministros utilizando sistemas empresariales." 25/O152es_ES
dc.type.versioninfo:eu-repo/semantics/acceptedVersiones_ES
dc.type.snrddocunento de conferenciaes_ES
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dc.rights.useCC0 1.0 Universal*


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