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dc.creatorGutiérrez, J.
dc.creatorPuerto Albandoz, Justo
dc.creatorSicilia Rodríguez, Joaquín
dc.date.accessioned2015-06-23T13:56:36Z
dc.date.available2015-06-23T13:56:36Z
dc.date.issued2004
dc.identifier.citationGutiérrez, J., Puerto Albandoz, J. y Sicilia, J. (2004). The multiscenario lot size problem with concave costs. European Journal of Operational Research, 156 (1), 162-182.
dc.identifier.issn0377-2217
dc.identifier.otherhttp://grupo.us.es/gpb97/curri_sevilla/doc/ZIO_EJOR.PDF
dc.identifier.urihttp://hdl.handle.net/11441/26035
dc.description.abstractThe dynamic single-facility single-item lot size problem is addressed. The finite planning horizon is divided into several time periods. Although the total demand is assumed to be a fixed value, the distribution of this demand among the different periods is unknown. Therefore, for each period the demand can be chosen from a discrete set of values. For this reason, all the combinations of the demand vector yield a set of different scenarios. Moreover, we assume that the production/reorder and holding cost vectors can vary from one scenario to another. For each scenario, we consider as the objective function the sum of the production/reorder and the holding costs. The problem consists of determining all the Pareto-optimal or non-dominated production plans with respect to all scenarios. We propose a solution method based on a multiobjective branch and bound approach. Depending on whether shortages are considered or not, different upper bound sets are provided. Computational results on several randomly generated problems are reported.
dc.formatapplication/pdf
dc.language.isoeng
dc.publisherElsevier
dc.relation.ispartofEuropean Journal of Operational Research, 156 (1), 162-182.
dc.rightsAtribución-NoComercial-SinDerivadas 4.0 España
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0
dc.subjectScenarios
dc.subjectInventory
dc.subjectMultiple objective programming
dc.titleThe multiscenario lot size problem with concave costs
dc.typeinfo:eu-repo/semantics/article
dc.type.versioninfo:eu-repo/semantics/submittedVersion
dc.rights.accessrightsinfo:eu-repo/semantics/openAccess
dc.contributor.affiliationUniversidad de Sevilla. Departamento de Estadística e Investigación Operativa
dc.relation.publisherversion10.1016/S0377-2217(03)00014-6
dc.relation.publisherversionhttps://www.sciencedirect.com/science/article/pii/S0377221703000146
dc.identifier.doi10.1016/S0377-2217(03)00014-6es
dc.journaltitleEuropean Journal of Operational Research
dc.publication.volumen156
dc.publication.issue1
dc.publication.initialPage162
dc.publication.endPage182
dc.identifier.idushttps://idus.us.es/xmlui/handle/11441/26035

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