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dc.contributor.authorBautista Valhondo, Joaquín
dc.contributor.authorCano Pérez, Alberto
dc.contributor.authorAlfaro Pozo, Rocío
dc.contributor.otherUniversitat Politècnica de Catalunya. Departament d'Organització d'Empreses
dc.date.accessioned2016-09-06T09:59:14Z
dc.date.available2017-08-30T00:30:33Z
dc.date.issued2016-08-30
dc.identifier.citationBautista, J., Cano, A., Alfaro, R. A hybrid dynamic programming for solving a mixed-model sequencing problem with production mix restriction and free interruptions. "Progress in Artificial Intelligence", 30 Agost 2016, vol. 5, núm. August 2016, p. 1-13.
dc.identifier.issn2192-6360 (Online ISSN)
dc.identifier.urihttp://hdl.handle.net/2117/89599
dc.description.abstractIn this article, we propose a hybrid procedure based on bounded dynamic programming assisted by linear programming to solve the mixed-model sequencing problem with workload minimization with serial workstations, free interruption of the operations and with production mix restrictions. We performed a computational experiment with 23 instances related to a case study of the Nissan powertrain plant located in Barcelona. The results of our proposal are compared with those obtained by mixed integer linear programming.
dc.format.extent13 p.
dc.language.isoeng
dc.publisherSpringer Berlin Heidelberg
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/3.0/es/
dc.subjectÀrees temàtiques de la UPC::Economia i organització d'empreses
dc.subject.lcshHeuristic algorithms
dc.subject.otherMixed-model sequencing
dc.subject.otherDynamic programming
dc.subject.otherMixed integer linear programming
dc.subject.otherHybrid metaheuristics
dc.subject.otherIndustrial application
dc.titleA hybrid dynamic programming for solving a mixed-model sequencing problem with production mix restriction and free interruptions
dc.typeArticle
dc.subject.lemacProgramació heurística
dc.contributor.groupUniversitat Politècnica de Catalunya. OPE - Organització de la Producció i d'Empresa (aspectes tècnics, jurídics i econòmics en Producció)
dc.identifier.doi10.1007/s13748-016-0101-5
dc.description.peerreviewedPeer Reviewed
dc.relation.publisherversionhttp://link.springer.com/journal/13748
dc.rights.accessOpen Access
local.identifier.drac18849191
dc.description.versionPostprint (author's final draft)
dc.relation.projectidinfo:eu-repo/grantAgreement/MINECO//TIN2014-57497-P/ES/FACTOR HUMANO E INCERTIDUMBRE SOBRE LA SECUENCIACION Y EL EQUILIBRADO EN LINEAS DE MODELOS MIXTOS/
local.citation.authorBautista, J.; Cano, A.; Alfaro, R.
local.citation.publicationNameProgress in Artificial Intelligence
local.citation.volume5
local.citation.numberAugust 2016
local.citation.startingPage1
local.citation.endingPage13


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