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Selection and use of a multi-criteria decision aiding method in the context of conceptual design with imprecise information: Application to a solar collector development

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.accessioned2021-05-14T09:54:15Z
dc.date.available2021-05-14T09:54:15Z
dc.date.issued2016
dc.identifier.issn1063-293X
dc.identifier.urihttps://oskar-bordeaux.fr/handle/20.500.12278/77588
dc.description.abstractEnMaking decisions on a sound basis in early phases is one of the most difficult challenges in the product development process, especially when dealing with immature concepts. Moreover, life-cycle cost can be influenced up to 70% by decisions taken during the conceptual design phases. The need for reliable multi-criteria decision aiding methods is thus greater in these phases. Various multi-criteria decision aiding methods are proposed and used in the literature. The main criticism of these methods is that they usually produce contradictory results for the same problem. In this work, seven widely used multi-criteria decision aiding methods (weighed sum, weighted product, Kim and Lin, compromise programming, TOPSIS, quadratic mean and ELECTRE I) are analysed. This analysis was based on a real industrial case to develop a solar collector. The proposed multi-criteria decision aiding methods were compared in terms of three criteria deemed relevantin the relevant context: (1) adaptation of the type of results the multi-criteria decision aiding method is expected to bring, (2) correct handling of input information and (3) adaptation of the degree of compensation. Based on these criteria, it was proven that weighted product is the most appropriate multi-criteria decision aiding method in our case. In addition, it has been demonstrated that sensitivity analysis can improve the benefit of using the multi-criteria decision aiding method chosen when dealing with imprecise information due to immaturity of concepts.
dc.language.isoen
dc.publisherSAGE Publications
dc.subject.enconceptual design phase
dc.subject.enmulti-criteria decision aiding methods
dc.subject.enconcept maturity
dc.subject.enimprecision
dc.subject.ensensitivity study
dc.title.enSelection and use of a multi-criteria decision aiding method in the context of conceptual design with imprecise information: Application to a solar collector development
dc.typeArticle de revue
dc.identifier.doi10.1177/1063293X15613838
dc.subject.halSciences de l'ingénieur [physics]/Mécanique [physics.med-ph]/Génie mécanique [physics.class-ph]
bordeaux.journalConcurrent Engineering: Research and Applications
bordeaux.page35-47
bordeaux.volume24
bordeaux.hal.laboratoriesInstitut de Mécanique et d’Ingénierie de Bordeaux (I2M) - UMR 5295*
bordeaux.issue1
bordeaux.institutionUniversité de Bordeaux
bordeaux.institutionBordeaux INP
bordeaux.institutionCNRS
bordeaux.institutionINRAE
bordeaux.institutionArts et Métiers
bordeaux.peerReviewedoui
hal.identifierhal-01301192
hal.version1
hal.origin.linkhttps://hal.archives-ouvertes.fr//hal-01301192v1
bordeaux.COinSctx_ver=Z39.88-2004&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.jtitle=Concurrent%20Engineering:%20Research%20and%20Applications&rft.date=2016&rft.volume=24&rft.issue=1&rft.spage=35-47&rft.epage=35-47&rft.eissn=1063-293X&rft.issn=1063-293X&rft.au=EL%20AMINE,%20Mehdi&PAILHES,%20Jerome&PERRY,%20Nicolas&rft.genre=article


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