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dc.creatorMejía Gutiérrez, Ricardo
dc.creatorFischer Estia, Xavier
dc.creatorBennis, Fouad
dc.date.available2015-02-27T19:23:25Z
dc.date.issued2007-12-02
dc.identifier.citationMejía-Gutiérrez, R., Fischer, X. and Bennis, F. "Knowledge modelling for supporting decision making in optimal distributed design process" in proceedings of the IEEE International Conference on Industrial Engineering and Engineering Management (IEEM 2007). Singapore, 2–5 december, (2007).spa
dc.identifier.isbn978-1-4244-1529-8
dc.identifier.urihttp://hdl.handle.net/10784/5030
dc.description.abstractA methodology for distributed knowledge modeling will be presented in this article, in order to contribute to a better decision making during design problems analysis -- An optimal design process refers to setting up coherent numerical models and it requires a well structured problem definition -- However, a lack of downstream information in early stages of product development leads to a complicated elicitation task that became an issue due to nowadays distributed environments -- A Multi-Agent approach is proposed to support the distributed knowledge elicitation process -- A set of agents will guide members from the distributed design team, throughout the product life cycle, to extract relevant information and analyze it -- The interaction among agents will highlight potential incoherencies during the modeling process, in order to enable partners to avoid inconsistent information -- A coherent knowledge base is then constructed and ready to be used to create models to be analyzed by traditional inference engines such as optimization solvers,constraint satisfaction programming, etcspa
dc.language.isoengeng
dc.publisherIEEEspa
dc.relation.ispartofproceedings of the IEEE International Conference on Industrial Engineering and Engineering Management (IEEM 2007). Singapore, 2–5 december, (2007)spa
dc.relation.ispartofseriesIndustrial Engineering and Engineering Management, 2007 IEEE International Conference onspa
dc.relation.isversionofhttp://dx.doi.org/10.1109/IEEM.2007.4419557spa
dc.rightsinfo:eu-repo/semantics/closedAccess
dc.subjectSistemas Multiagentesspa
dc.titleKnowledge modelling for supporting decision making in optimal distributed design processspa
dc.typeconferenceObjecteng
dc.typeinfo:eu-repo/semantics/conferenceObject
dc.rights.accessRightsclosedAccessspa
dc.publisher.programGrupo de Investigación en Ingeniería de Diseño - GRIDspa
dc.publisher.programDesign Engineering Research Group - GRIDspa
dc.subject.lembMODELOS MATEMÁTICOSspa
dc.subject.lembDISEÑO DE PRODUCTOSspa
dc.subject.lembOPTIMIZACIÓN MATEMÁTICAspa
dc.subject.lembTOMA DE DECISIONES - MODELOS MATEMÁTICOSspa
dc.subject.lembINTELIGENCIA ARTIFICIAL DISTRIBUIDAspa
dc.subject.lembSISTEMAS DE CONTROL INTELIGENTEspa
dc.publisher.departmentEscuela de Ingenieríaspa
dc.type.spaDocumento de conferenciaspa
dc.subject.keywordMathematical modelsspa
dc.subject.keywordDecision-makingspa
dc.subject.keywordMathematical optimizationspa
dc.subject.keywordDistributed artificial intelligencespa
dc.subject.keywordIntelligent control systemsspa
dc.rights.accesoAcceso cerradospa
dc.date.accessioned2015-02-27T19:23:25Z
dc.type.hasVersionpublishedVersionspa
dc.contributor.departmentUniversidad EAFIT. Departamento de Ingeniería de Diseño. Grupo de Investigación en Ingeniería de Diseño - GRID
dc.contributor.eafitauthorRicardo Mejia (rmejiag@eafit.edu.co)spa
dc.tipo.versionObra publicadaspa


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