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dc.contributor.authorDíaz-Madroñero, Manuelen_US
dc.contributor.authorPeidro, Daviden_US
dc.contributor.authorMula, Josefaen_US
dc.contributor.authorFerriols, Francisco J.en_US
dc.date.accessioned2012-06-20T09:57:21Z-
dc.date.available2012-06-20T09:57:21Z-
dc.date.issued2010en_US
dc.identifier.citationRevista de Métodos Cuantitativos para la Economía y la Empresa 1886-516X 9 2010 44-68en_US
dc.identifier.urihttp://hdl.handle.net/10419/59078-
dc.language.isospaen_US
dc.publisherUniversidad Pablo de Olavide Sevillaen_US
dc.subject.jelC61en_US
dc.subject.jelL00en_US
dc.subject.ddc330en_US
dc.subject.keywordsupply chain planningen_US
dc.subject.keywordtransport planningen_US
dc.subject.keywordfuzzy multiobjective linear programmingen_US
dc.subject.keyworduncertaintyen_US
dc.titleEnfoques de programación matemática fuzzy multiobjetivo para la planicación operativa del transporte en una cadena de suministro del sector del automóvilen_US
dc.typeArticleen_US
dc.identifier.ppn645271098en_US
dc.description.abstracttransIn this paper, a fuzzy multiobjective mathematical programming model for operational transport planning in a supply chain is presented. The objectives of the proposed model are the minimization of the number of used trucks and the total inventory level, by considering vehicle capacities as a fuzzy parameter. We propose a solution methodology to transform the original model into a mixed integer linear programming model with a single objective by using different approaches in the literature. The proposed model is validated with data from a real-world automobile supply chain. Finally, the results for each of the approaches show the improvement obtained by the proposed model in comparison to the heuristic procedure for decision making used in the supply chain under study.en_US
dc.rightshttp://www.econstor.eu/dspace/Nutzungsbedingungenen_US
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