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Integration of an EMO-based preference elicitation scheme into a multi-objective ACO algorithm for time and Space Assembly Line Balancing
dc.contributor.author | Chica Serrano, Manuel |
dc.contributor.author | Cordón García, Oscar |
dc.contributor.author | Damas Arroyo, Sergio |
dc.contributor.author | Bautista Valhondo, Joaquín |
dc.contributor.other | Universitat Politècnica de Catalunya. Departament d'Organització d'Empreses |
dc.date.accessioned | 2016-11-16T08:32:10Z |
dc.date.issued | 2009-05-15 |
dc.identifier.citation | Chica, 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.isbn | 978-1-4244-2764-2 |
dc.identifier.uri | http://hdl.handle.net/2117/96703 |
dc.description.abstract | In 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.extent | 6 p. |
dc.language.iso | eng |
dc.publisher | Institute of Electrical and Electronics Engineers (IEEE) |
dc.rights.uri | http://creativecommons.org/licenses/by-nc-nd/3.0/es/ |
dc.subject | Àrees temàtiques de la UPC::Economia i organització d'empreses |
dc.subject.lcsh | Assembly-line methods |
dc.subject.lcsh | Algorithms |
dc.subject.other | Ant colony optimization |
dc.subject.other | Automotive engineering |
dc.subject.other | Engines |
dc.subject.other | Delta modulation |
dc.subject.other | Space stations |
dc.subject.other | Decision making |
dc.subject.other | Assembly systems |
dc.subject.other | Workstations |
dc.subject.other | Flow production systems |
dc.subject.other | Manufacturing |
dc.title | Integration of an EMO-based preference elicitation scheme into a multi-objective ACO algorithm for time and Space Assembly Line Balancing |
dc.type | Part of book or chapter of book |
dc.subject.lemac | Automòbils -- Indústria i comerç |
dc.subject.lemac | Programació heurística |
dc.subject.lemac | Treball en cadena |
dc.subject.lemac | Programació lineal |
dc.contributor.group | Universitat Politècnica de Catalunya. OPE - Organització de la Producció i d'Empresa (aspectes tècnics, jurídics i econòmics en Producció) |
dc.description.peerreviewed | Peer Reviewed |
dc.relation.publisherversion | http://ieeexplore.ieee.org/xpl/mostRecentIssue.jsp?punumber=4911363 |
dc.rights.access | Restricted access - publisher's policy |
local.identifier.drac | 18965402 |
dc.description.version | Postprint (published version) |
dc.date.lift | 10000-01-01 |
local.citation.author | Chica, M.; Cordón, O.; Damas, S.; Bautista, J. |
local.citation.publicationName | Computational intelligence in miulti-criteria decision-making, 2009. mcdm '09. IEEE symposium on |
local.citation.startingPage | 157 |
local.citation.endingPage | 162 |
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