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dc.contributor.authorChica Serrano, Manuel
dc.contributor.authorCordón García, Oscar
dc.contributor.authorDamas Arroyo, Sergio
dc.contributor.authorBautista Valhondo, Joaquín
dc.contributor.otherUniversitat Politècnica de Catalunya. Departament d'Organització d'Empreses
dc.date.accessioned2015-04-07T10:34:44Z
dc.date.available2015-04-07T10:34:44Z
dc.date.created2013
dc.date.issued2013
dc.identifier.citationChica, M. [et al.]. A multiobjective genetic algorithm and robustness information function for time and space assembly line balancing. A: Congreso Español sobre Metaheurísticas, Algoritmos Evolutivos y Bioinspirados. "Multiconferencia CAEPIA'13 - IX Congreso Español de Metaheurísticas, Algoritmos Evolutivos y Bioinspirados [MAEB 2013]". Madrid: 2013, p. 453-462.
dc.identifier.isbn978-84-695-8348-7
dc.identifier.urihttp://hdl.handle.net/2117/27131
dc.description.abstractThe time and space assembly line balancing problem (TSALBP) is a realistic multiobjective version of assembly line balancing industrial problems involving the joint optimization of conflicting criteria such as the cycle time, the number of stations, and the area of these stations. However, the existing problem formulation does not consider the industrial scenario where the demand of a set of mixed products is variable and uncertain. In this contribution we introduce a novel robustness function to measure the robustness of the line configuration when the production plans demand changes. The function is used as additional a posteriori information for the non-dominated solutions found by an advanced multiobjective genetic algorithm. Because of their independence, these robustness functions can be used in conjunction with any other multiobjective metaheuristic. Results show how the use of the robustness function can help the decision maker to select robust non-dominated solutions when future demand conditions vary in the assembly line configurations.
dc.format.extent10 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.lcshAssembly-line methods
dc.subject.lcshHeuristic algorithms
dc.subject.otherTSALBP
dc.subject.otherAssembly Line balancing Problem
dc.subject.otherRobustness
dc.titleA multiobjective genetic algorithm and robustness information function for time and space assembly line balancing
dc.typeConference report
dc.subject.lemacProgramació heurística
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.doi10.13140/2.1.2163.6162
dc.relation.publisherversionhttp://caepia13.aepia.org/
dc.rights.accessOpen Access
local.identifier.drac15558017
dc.description.versionPostprint (published version)
local.citation.authorChica, M.; Cordón, O.; Damas, S.; Bautista, J.
local.citation.contributorCongreso Español sobre Metaheurísticas, Algoritmos Evolutivos y Bioinspirados
local.citation.pubplaceMadrid
local.citation.publicationNameMulticonferencia CAEPIA'13 - IX Congreso Español de Metaheurísticas, Algoritmos Evolutivos y Bioinspirados [MAEB 2013]
local.citation.startingPage453
local.citation.endingPage462


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