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dc.rights.licenseopenen_US
dc.contributor.authorGUILLON, Delphine
hal.structure.identifierESTIA INSTITUTE OF TECHNOLOGY
dc.contributor.authorVILLENEUVE, Eric
ORCID: 0000-0003-0273-2267
IDREF: 164630686
dc.contributor.authorMERLO, Christophe
ORCID: 0000-0002-7010-306X
IDREF: 79158552
dc.contributor.authorVAREILLES, Élise
dc.contributor.authorALDANONDO, Michel
dc.date.accessioned2023-04-05T15:05:32Z
dc.date.available2023-04-05T15:05:32Z
dc.date.issued2021
dc.identifier.issn0360-8352en_US
dc.identifier.urihttps://oskar-bordeaux.fr/handle/20.500.12278/172816
dc.description.abstractEnWhen responding to calls for tenders, companies must elaborate on relevant bids relative to the needs and expectations of customers (for example, in terms of price and delay). We built and deployed a knowledge-based system (KBS) to aid companies when developing bids. Based on a pre-defined generic bid model, a methodology to support companies when deploying the KBS is proposed in this paper. To capture, formalize, and reuse knowledge relevant to bids, a combination of several approaches, such as taxonomy, constraint satisfaction problem, and case-based reasoning, is proposed. The methodology is composed of five steps: Initialization, Specialization, Implementation, Exploitation, and Maintenance. A case study from a company building electrical parts of harbor lifting devices illustrates our proposal and allows validating the proposed methodology.
dc.description.sponsorshipOutils logiciels et ProcEssus pour la Réponse à Appel d'Offres - ANR-16-CE10-0010en_US
dc.language.isoENen_US
dc.subject.enDeployment methodology
dc.subject.enknowledge-based system
dc.subject.enbidding process
dc.subject.enconstraint satisfaction problem
dc.subject.encase-based reasoning
dc.subject.entaxonomy
dc.title.enISIEM: a methodology to deploy a knowledge-based system to support bidding process
dc.typeArticle de revueen_US
dc.identifier.doi10.1016/j.cie.2021.107638en_US
dc.subject.halSciences de l'ingénieur [physics]/Autreen_US
bordeaux.journalComputers & Industrial Engineeringen_US
bordeaux.page107638en_US
bordeaux.volume161en_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-03333688
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%20&%20Industrial%20Engineering&rft.date=2021&rft.volume=161&rft.spage=107638&rft.epage=107638&rft.eissn=0360-8352&rft.issn=0360-8352&rft.au=GUILLON,%20Delphine&VILLENEUVE,%20Eric&MERLO,%20Christophe&VAREILLES,%20%C3%89lise&ALDANONDO,%20Michel&rft.genre=article


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