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dc.contributor.authorChica Serrano, Manuel
dc.contributor.authorBautista Valhondo, Joaquín
dc.contributor.authorCordón García, Oscar
dc.contributor.authorDamas Arroyo, Sergio
dc.contributor.otherUniversitat Politècnica de Catalunya. Departament d'Organització d'Empreses
dc.date.accessioned2015-05-28T10:46:12Z
dc.date.available2018-02-01T01:30:51Z
dc.date.created2016-01
dc.date.issued2016-01
dc.identifier.citationChica, M. [et al.]. A multiobjective model and evolutionary algorithms for robust time and space assembly line balancing under uncertain demand. "Omega: the international journal of management science", Gener 2016, vol. 58, núm. January 2016, p. 55-68.
dc.identifier.issn0305-0483
dc.identifier.urihttp://hdl.handle.net/2117/28090
dc.description.abstractChanges in demand when manufacturing different products require an optimization model that includes robustness in its definition and methods to deal with it. In this work we propose the r-TSALBP, a multiobjective model for assembly line balancing to search for the most robust line configurations when demand changes. The robust model definition considers a set of demand scenarios and presents temporal and spatial overloads of the stations in the assembly line of the products to be assembled. We present two multiobjective evolutionary algorithms to deal with one of the r-TSALBP variants. The first algorithm uses an additional objective to evaluate the robustness of the solutions. The second algorithm employs a novel adaptive method to evolve separate populations of robust and non-robust solutions during the search. Results show the improvements of using robustness information during the search and the outstanding behavior of the adaptive evolutionary algorithm for solving the problem. Finally, we analyze the managerial impacts of considering the r-TSALBP model for the different organization departments by exploiting the values of the robustness metrics.
dc.format.extent14 p.
dc.language.isoeng
dc.rightsAttribution-NonCommercial-NoDerivs 3.0 Spain
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.lcshAssembly-line methods
dc.subject.otherRobust optimization
dc.subject.otherAssembly line balancing
dc.subject.otherMultiobjective evolutionary algorithms
dc.subject.otherUncertain demand
dc.titleA multiobjective model and evolutionary algorithms for robust time and space assembly line balancing under uncertain demand
dc.typeArticle
dc.subject.lemacProgramació heurística
dc.subject.lemacProducció -- Planificació -- Models matemàtics
dc.contributor.groupUniversitat Politècnica de Catalunya. OPE - Organització de la Producció i d'Empresa (aspectes tècnics, jurídics i econòmics en Producció)
dc.identifier.doi10.1016/j.omega.2015.04.003
dc.description.peerreviewedPeer Reviewed
dc.relation.publisherversionhttp://www.sciencedirect.com/science/article/pii/S0305048315000766
dc.rights.accessOpen Access
drac.iddocument15729443
dc.description.versionPostprint (author’s final draft)
upcommons.citation.authorChica, M.; Bautista, J.; Cordón, O.; Damas, S.
upcommons.citation.publishedtrue
upcommons.citation.publicationNameOmega: the international journal of management science
upcommons.citation.volume58
upcommons.citation.numberJanuary 2016
upcommons.citation.startingPage55
upcommons.citation.endingPage68


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