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dc.rights.licenseopenen_US
hal.structure.identifierLaboratoire de l'intégration, du matériau au système [IMS]
dc.contributor.authorGORECKI, Simon
IDREF: 225329174
hal.structure.identifierLaboratoire de l'intégration, du matériau au système [IMS]
dc.contributor.authorPOSSIK, Jalal
hal.structure.identifierLaboratoire de l'intégration, du matériau au système [IMS]
dc.contributor.authorZACHAREWICZ, Gregory
hal.structure.identifierLaboratoire de l'intégration, du matériau au système [IMS]
dc.contributor.authorDUCQ, Yves
ORCID: 0000-0001-5144-5876
IDREF: 119003791
hal.structure.identifierInstitut de Mécanique et d'Ingénierie [I2M]
dc.contributor.authorPERRY, Nicolas
IDREF: 085512125
dc.date.accessioned2021-03-11T09:20:21Z
dc.date.available2021-03-11T09:20:21Z
dc.date.issued2020-09
dc.identifier.urihttps://oskar-bordeaux.fr/handle/20.500.12278/26627
dc.description.abstractEnIn order to control manufacturing systems, managers need risk and performance evaluation methods and simulation tools. However, these simulation techniques must evolve towards being multiperformance, multiactor, and multisimulation tools, and this requires interoperability between those distributed components. This paper presents an integrated platform that brings interoperability to several simulation components. This work expands the process modeling tool Papyrus to allow it to communicate with external components through both distributed simulation and cosimulation standards. The distributed modeling and simulation framework (DMSF) platform takes its environment into consideration in order to evaluate the sustainability of the system while integrating external heterogeneous components. For instance, a DMSF connection with external IoT devices has been implemented. Moreover, the orchestration of different smart manufacturing components and services is achieved through configurable business models. As a result, an automotive industry case study has successfully been tested to demonstrate the sustainability of smart supply chains and manufacturing factories, allowing better connectivity with their real environments.
dc.language.isoENen_US
dc.rightsAttribution 3.0 United States
dc.rights.urihttp://creativecommons.org/licenses/by/3.0/us/
dc.subject.enHla
dc.subject.enPapyrus
dc.subject.enFmi
dc.subject.enBpmn
dc.subject.enDistributed Simulation
dc.subject.enEnterprise Interoperability
dc.subject.enIndustry 40
dc.subject.enJaamsim
dc.subject.enModeling And Simulation
dc.title.enA Multicomponent Distributed Framework for Smart Production System Modeling and Simulation
dc.typeArticle de revueen_US
dc.identifier.doi10.3390/su12176969en_US
dc.subject.halSciences de l'ingénieur [physics]/Autreen_US
bordeaux.journalSustainabilityen_US
bordeaux.page6969en_US
bordeaux.volume12en_US
bordeaux.hal.laboratoriesLaboratoire d’Intégration du Matériau au Système (IMS) - UMR 5218en_US
bordeaux.issue17en_US
bordeaux.institutionUniversité de Bordeauxen_US
bordeaux.institutionBordeaux INPen_US
bordeaux.peerReviewedouien_US
bordeaux.inpressnonen_US
hal.exportfalse
bordeaux.COinSctx_ver=Z39.88-2004&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.jtitle=Sustainability&rft.date=2020-09&rft.volume=12&rft.issue=17&rft.spage=6969&rft.epage=6969&rft.au=GORECKI,%20Simon&POSSIK,%20Jalal&ZACHAREWICZ,%20Gregory&DUCQ,%20Yves&PERRY,%20Nicolas&rft.genre=article


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