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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.accessioned2017-03-16T12:03:08Z
dc.date.available2018-03-01T01:30:35Z
dc.date.issued2017-03
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", Març 2017, vol. 6, núm. 1, p. 27-39.
dc.identifier.issn2192-6352
dc.identifier.urihttp://hdl.handle.net/2117/102582
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
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.lcshDynamic programming
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 dinàmica
dc.subject.lemacHeurística
dc.subject.lemacOrganització industrial
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/article/10.1007/s13748-016-0101-5
dc.rights.accessOpen Access
local.identifier.drac19789394
dc.description.versionPostprint (author's final draft)
local.citation.authorBautista, J.; Cano, A.; Alfaro, R.
local.citation.publicationNameProgress in Artificial Intelligence
local.citation.volume6
local.citation.number1
local.citation.startingPage27
local.citation.endingPage39


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