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dc.rights.licenseopenen_US
hal.structure.identifierESTIA INSTITUTE OF TECHNOLOGY
dc.contributor.authorLORENTE, Quentin
hal.structure.identifierESTIA INSTITUTE OF TECHNOLOGY
dc.contributor.authorVILLENEUVE, Eric
ORCID: 0000-0003-0273-2267
IDREF: 164630686
hal.structure.identifierESTIA INSTITUTE OF TECHNOLOGY
dc.contributor.authorMERLO, Christophe
ORCID: 0000-0002-7010-306X
IDREF: 79158552
hal.structure.identifierESTIA INSTITUTE OF TECHNOLOGY
dc.contributor.authorBOY, Guy Andre
dc.contributor.authorTHERMY, Francois
dc.date.accessioned2023-04-04T09:54:17Z
dc.date.available2023-04-04T09:54:17Z
dc.date.issued2022-12-26
dc.date.conference2022-12-07
dc.identifier.isbn978-1-6654-8687-3, 978-1-6654-8688-0
dc.identifier.urihttps://oskar-bordeaux.fr/handle/20.500.12278/172720
dc.description.abstractEnThis research work aims at improving collective decision-making and learning through a digital twin of the organization in the context of a complex industrial activity such as helicopter engine maintenance. Field and bibliographic studies allowed to determine that the digital twin should be based on a multi-agent system model for reasons of flexibility and modularity necessary in this constantly changing environment. The digital twin is intended to adapt to the organization but also to enhance it by including missing information flows. This paper presents the agent model chosen and inspired from reinforcement learning and how it allowed to identify these missing flows. The importance of interfaces in the digital twin and what they should contain to integrate agents is shown, as well as the psychosocial aspects to be considered for humans to handle their design.
dc.language.isoENen_US
dc.publisherIEEEen_US
dc.subject.enAdaptation models
dc.subject.enDecision making
dc.subject.enHelicopters
dc.subject.enCollaboration
dc.subject.enPsychology
dc.subject.enMaintenance engineering
dc.subject.enDigital twins
dc.title.enSociotechnical System Digital Twin as an Organizational-enhancer applied to Helicopter Engines Maintenance
dc.typeCommunication dans un congrès avec actesen_US
dc.identifier.doi10.1109/IEEM55944.2022.9989843en_US
dc.subject.halSciences de l'ingénieur [physics]/Autreen_US
bordeaux.hal.laboratoriesESTIA - Rechercheen_US
bordeaux.institutionUniversité de Bordeauxen_US
bordeaux.institutionBordeaux INPen_US
bordeaux.institutionBordeaux Sciences Agroen_US
bordeaux.conference.titleIEEE International Conference on Industrial Engineering and Engineering Management (IEEM)en_US
bordeaux.countrymyen_US
bordeaux.title.proceedingIEEE International Conference on Industrial Engineering and Engineering Management (IEEM)en_US
bordeaux.conference.cityKuala Lumpuren_US
bordeaux.peerReviewedouien_US
bordeaux.import.sourcehal
hal.identifierhal-03920816
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.date=2022-12-26&rft.au=LORENTE,%20Quentin&VILLENEUVE,%20Eric&MERLO,%20Christophe&BOY,%20Guy%20Andre&THERMY,%20Francois&rft.isbn=978-1-6654-8687-3,%20978-1-6654-8688-0&rft.genre=proceeding


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