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hal.structure.identifierInstitut de Mécanique et d'Ingénierie de Bordeaux [I2M]
dc.contributor.authorEL AMINE, Mehdi
hal.structure.identifierInstitut de Mécanique et d'Ingénierie de Bordeaux [I2M]
dc.contributor.authorPAILHES, Jerome
IDREF: 067161731
hal.structure.identifierInstitut de Mécanique et d'Ingénierie de Bordeaux [I2M]
dc.contributor.authorPERRY, Nicolas
IDREF: 085512125
dc.date.accessioned2021-05-14T10:02:05Z
dc.date.available2021-05-14T10:02:05Z
dc.date.issued2014
dc.date.conference2014-04-14
dc.identifier.urihttps://oskar-bordeaux.fr/handle/20.500.12278/78268
dc.description.abstractEnAt each stage of the product development process, the designers are facing an important task which consists of decision making. Two cases are observed: the problem of concept selection in conceptual design phases and, the problem of pre-dimensioning once concept choices are made. Making decisions in conceptual design phases on a sound basis is one of the most difficult challenges in engineering design, especially when innovative concepts are introduced. On the one hand, designers deal with imprecise data about design alternatives. On the other hand, design objectives and requirements are usually not clear in these phases. The greatest opportunities to reduce product life cycle costs usually occur during the first conceptual design phases. The need for reliable multi-criteria decision aid (MCDA) methods is thus greatest at early conceptual design phases. Various MCDA methods are proposed in the literature. The main criticism of these methods is that they usually yield different results for the same problem [22,23,25]. In this work, an analysis of six MCDA methods (weighed sum, weighted product, Kim & Lin, compromise programming, TOPSIS, and ELECTRE I) was conducted. Our analysis was performed via an industrial case of solar collector structure development. The objective is to define the most appropriate MCDA methods in term of three criteria: (i) the consistency of the results, (ii) the ease of understanding and, (iii) the adaptation of the decision type. The results show that TOPSIS is the most consistent MCDA method in our case.
dc.language.isoen
dc.publisherSpringer
dc.source.titleProceeding of the 24th CIRP Design Conference 2014 - Mass Customization and Personalization
dc.subject.enMulti-criteria decision aid methods
dc.subject.enSelection methods
dc.subject.enAggregative methods
dc.subject.enInnovative design
dc.subject.enConceptual design
dc.subject.enConsistency
dc.title.enCritical review of multi-criteria decision aid methods in conceptual design phases: application to the development of a solar collector structure
dc.typeCommunication dans un congrès avec actes
dc.subject.halMathématiques [math]/Optimisation et contrôle [math.OC]
dc.subject.halSciences de l'ingénieur [physics]/Mécanique [physics.med-ph]/Génie mécanique [physics.class-ph]
dc.subject.halPhysique [physics]/Mécanique [physics]/Génie mécanique [physics.class-ph]
bordeaux.page1-6
bordeaux.hal.laboratoriesInstitut de Mécanique et d’Ingénierie de Bordeaux (I2M) - UMR 5295*
bordeaux.institutionUniversité de Bordeaux
bordeaux.institutionBordeaux INP
bordeaux.institutionCNRS
bordeaux.institutionINRAE
bordeaux.institutionArts et Métiers
bordeaux.countryIT
bordeaux.title.proceeding24th CIRP Design Conference 2014 - Mass Customization and Personalization
bordeaux.peerReviewedoui
hal.identifierhal-00984796
hal.version1
hal.origin.linkhttps://hal.archives-ouvertes.fr//hal-00984796v1
bordeaux.COinSctx_ver=Z39.88-2004&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.btitle=Proceeding%20of%20the%2024th%20CIRP%20Design%20Conference%202014%20-%20Mass%20Customization%20and%20Personalization&rft.date=2014&rft.spage=1-6&rft.epage=1-6&rft.au=EL%20AMINE,%20Mehdi&PAILHES,%20Jerome&PERRY,%20Nicolas&rft.genre=proceeding


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