Knowledge modelling for supporting decision making in optimal distributed design process

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dc.contributor.authorMejía Gutiérrez, Ricardo
dc.contributor.authorFischer Estia, Xavier
dc.contributor.authorBennis, Fouad
dc.contributor.departmentUniversidad EAFIT. Departamento de Ingeniería de Diseñospa
dc.contributor.eafitauthorRicardo Mejia (rmejiag@eafit.edu.co)spa
dc.contributor.researchgroupIngeniería de Diseño - GRIDspa
dc.date.accessioned2015-02-27T19:23:25Z
dc.date.available2015-02-27T19:23:25Z
dc.date.issued2007-12-02
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, etceng
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.doi10.1109/IEEM.2007.4419557
dc.identifier.isbn978-1-4244-1529-8
dc.identifier.urihttp://hdl.handle.net/10784/5030
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.ispartofproceedings of the IEEE International Conference on Industrial Engineering and Engineering Management (IEEM 2007). Singapore, 2–5 december, (2007)eng
dc.relation.ispartofseriesIndustrial Engineering and Engineering Management, 2007 IEEE International Conference onspa
dc.relation.ispartofseriesIndustrial Engineering and Engineering Management, 2007 IEEE International Conference oneng
dc.relation.isversionofhttp://dx.doi.org/10.1109/IEEM.2007.4419557spa
dc.rights.accessrightsinfo:eu-repo/semantics/closedAccessspa
dc.rights.localAcceso cerradospa
dc.subject.keywordMathematical modelseng
dc.subject.keywordDecision-makingeng
dc.subject.keywordMathematical optimizationeng
dc.subject.keywordDistributed artificial intelligenceeng
dc.subject.keywordIntelligent control systemseng
dc.subject.keywordSistemas Multiagentesspa
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.titleKnowledge modelling for supporting decision making in optimal distributed design processeng
dc.typeinfo:eu-repo/semantics/conferencePapereng
dc.typeconferencePapereng
dc.typeinfo:eu-repo/semantics/publishedVersioneng
dc.typepublishedVersioneng
dc.type.localDocumento de conferenciaspa

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