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dc.rights.licenseopenen_US
dc.contributor.authorSYLLA, Abdourahim
hal.structure.identifierESTIA INSTITUTE OF TECHNOLOGY
dc.contributor.authorGUILLON, Delphine
dc.contributor.authorVAREILLES, Élise
dc.contributor.authorALDANONDO, Michel
dc.contributor.authorCOUDERT, Thierry
dc.contributor.authorGENESTE, Laurent
dc.date.accessioned2023-05-10T07:13:14Z
dc.date.available2023-05-10T07:13:14Z
dc.date.issued2018
dc.identifier.issn0166-3615en_US
dc.identifier.urihttps://oskar-bordeaux.fr/handle/20.500.12278/180892
dc.description.abstractEnThe bidding process is one of the most important phases for system contractors. A successful bid implies defining and implementing attractive and realistic systems solutions that fulfil customer expectations. An additional challenge arises with the increase in systems diversity resulting from growing customization needs. As a result, for standard customizing offers, bidders find good quality support with configuration software for assemble/make-to-order situations. But when requirements exceed the standard offers, bidders need extended support to fulfil Engineering-to-Order requirements. In this context, this article shows how configuration knowledge models, which support configuration in assemble/make-to-order situations (AMTO), can be extended and used in engineer-to-order situations (ETO). Modeling is achieved assuming that the configuration problem is considered as a constraint satisfaction problem. Six key requirements that differentiate ETO from AMTO are identified and modeling extensions are proposed and discussed. An example illustrates all the contributions.
dc.language.isoENen_US
dc.subject.enBidding process
dc.subject.enAssemble Make-to-Order
dc.subject.enEngineering-to-Order
dc.subject.enConfiguration software
dc.subject.enKnowledge-based model
dc.subject.enConstraint satisfaction problem
dc.subject.enAssemble/Make-to-Order
dc.title.enConfiguration knowledge modeling: How to extend configuration from assemble/make to order towards engineer to order for the bidding process
dc.typeArticle de revueen_US
dc.identifier.doi10.1016/j.compind.2018.03.019en_US
dc.subject.halSciences de l'ingénieur [physics]/Autreen_US
dc.subject.halInformatique [cs]/Modélisation et simulationen_US
bordeaux.journalComputers in Industryen_US
bordeaux.page29-41en_US
bordeaux.volume99en_US
bordeaux.hal.laboratoriesESTIA - Rechercheen_US
bordeaux.institutionUniversité de Bordeauxen_US
bordeaux.institutionBordeaux INPen_US
bordeaux.institutionBordeaux Sciences Agroen_US
bordeaux.peerReviewedouien_US
bordeaux.inpressnonen_US
bordeaux.import.sourcehal
hal.identifierhal-01832005
hal.version1
hal.exportfalse
workflow.import.sourcehal
dc.rights.ccPas de Licence CCen_US
bordeaux.COinSctx_ver=Z39.88-2004&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.jtitle=Computers%20in%20Industry&rft.date=2018&rft.volume=99&rft.spage=29-41&rft.epage=29-41&rft.eissn=0166-3615&rft.issn=0166-3615&rft.au=SYLLA,%20Abdourahim&GUILLON,%20Delphine&VAREILLES,%20%C3%89lise&ALDANONDO,%20Michel&COUDERT,%20Thierry&rft.genre=article


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