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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.accessioned2016-11-16T08:32:10Z
dc.date.issued2009-05-15
dc.identifier.citationChica, M., Cordón, O., Damas, S., Bautista, J. Integration of an EMO-based preference elicitation scheme into a multi-objective ACO algorithm for time and Space Assembly Line Balancing. A: "Computational intelligence in miulti-criteria decision-making, 2009. mcdm '09. IEEE symposium on". Institute of Electrical and Electronics Engineers (IEEE), 2009, p. 157-162.
dc.identifier.isbn978-1-4244-2764-2
dc.identifier.urihttp://hdl.handle.net/2117/96703
dc.description.abstractIn this paper, we consider the incorporation of user preferences based on Nissan automotive company’s domain knowledge into a multi-objective search process for assembly line balancing. We focus on the Time and Space Assembly Line Balancing problem, a more realistic variant of this family of problems considering the joint minimisation of the number of stations and their area in the assembly line configuration. The multi-objective optimisation algorithm considered is based on Ant Colony Optimisation, a research area where the considera- tion of multi-criteria decision making issues is still not extended. The proposed approach borrows a successful preference scheme from the evolutionary multi-objective optimisation commu nity, which provides experts with solutions of their contextual inter- est in the objective space. The expressions of the considered preferences are based on the Nissan plant designer’s expert knowledge and on real-world economical variables. Using the real data of the Nissan Pathfinder engine, an experimental st udy is carried out to obtain the most preferred solutions for the decision makers in six different Nissan scenarios.
dc.format.extent6 p.
dc.language.isoeng
dc.publisherInstitute of Electrical and Electronics Engineers (IEEE)
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.lcshAlgorithms
dc.subject.otherAnt colony optimization
dc.subject.otherAutomotive engineering
dc.subject.otherEngines
dc.subject.otherDelta modulation
dc.subject.otherSpace stations
dc.subject.otherDecision making
dc.subject.otherAssembly systems
dc.subject.otherWorkstations
dc.subject.otherFlow production systems
dc.subject.otherManufacturing
dc.titleIntegration of an EMO-based preference elicitation scheme into a multi-objective ACO algorithm for time and Space Assembly Line Balancing
dc.typePart of book or chapter of book
dc.subject.lemacAutomòbils -- Indústria i comerç
dc.subject.lemacProgramació heurística
dc.subject.lemacTreball en cadena
dc.subject.lemacProgramació lineal
dc.contributor.groupUniversitat Politècnica de Catalunya. OPE - Organització de la Producció i d'Empresa (aspectes tècnics, jurídics i econòmics en Producció)
dc.description.peerreviewedPeer Reviewed
dc.relation.publisherversionhttp://ieeexplore.ieee.org/xpl/mostRecentIssue.jsp?punumber=4911363
dc.rights.accessRestricted access - publisher's policy
local.identifier.drac18965402
dc.description.versionPostprint (published version)
dc.date.lift10000-01-01
local.citation.authorChica, M.; Cordón, O.; Damas, S.; Bautista, J.
local.citation.publicationNameComputational intelligence in miulti-criteria decision-making, 2009. mcdm '09. IEEE symposium on
local.citation.startingPage157
local.citation.endingPage162


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