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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.accessioned2015-04-24T09:16:41Z
dc.date.available2015-04-24T09:16:41Z
dc.date.created2015-04-20
dc.date.issued2015-04-20
dc.identifier.citationChica, M. [et al.]. "A multiobjective model and evolutionary algorithms for robust time and space assembly line balancing under uncertain demand". 2015.
dc.identifier.urihttp://hdl.handle.net/2117/27564
dc.descriptionEquilibrado de líneas (TSALBP) con soluciones robustas ante la variación de la demanda.
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.extent39 p.
dc.language.isoeng
dc.relation.ispartofseriesOPE-WP.2015/04 (20150420)
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.typeExternal research report
dc.subject.lemacProgramació heurística
dc.subject.lemacProducció -- Planificació -- Models matemàtics
dc.subject.lemacTreball en cadena
dc.contributor.groupUniversitat Politècnica de Catalunya. OPE - Organització de la Producció i d'Empresa (aspectes tècnics, jurídics i econòmics en Producció)
dc.identifier.doi10.13140/RG.2.1.2045.3922
dc.rights.accessOpen Access
local.identifier.drac15597578
dc.description.versionPreprint
local.citation.authorChica, M.; Bautista, J.; Cordón, O.; Damas, S.
local.citation.publicationNameA multiobjective model and evolutionary algorithms for robust time and space assembly line balancing under uncertain demand


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Except where otherwise noted, content on this work is licensed under a Creative Commons license : Attribution-NonCommercial-NoDerivs 3.0 Spain