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dc.rights.licenseopenen_US
dc.contributor.authorZEIGLER, Bernard
dc.contributor.authorMITTAL, Saurabh
hal.structure.identifierLaboratoire de l'intégration, du matériau au système [IMS]
dc.contributor.authorTRAORE, Mamadou
dc.date.accessioned2024-09-13T11:54:39Z
dc.date.available2024-09-13T11:54:39Z
dc.date.issued2018-11-15
dc.identifier.issn2079-8954en_US
dc.identifier.urioai:crossref.org:10.3390/systems6040040
dc.identifier.urihttps://oskar-bordeaux.fr/handle/20.500.12278/201579
dc.description.abstractEnThe limitations of model-based support for engineering complex systems include limited capability to develop multifaceted models as well as their analysis with robust reliable simulation engines. Lack of such Modeling and Simulation (M&S) infrastructure leads to knowledge gaps in engineering such complex systems and these gaps appear as epistemological emergent behaviors. In response, an initiative is underway to bring Model-Based Systems Engineering (MBSE) closer together with model-based simulation developments. M&S represents a core capability and is needed to address today’s complex, adaptive, systems of systems engineering challenges. This paper considers the problems raised by MBSE taken as a modeling activity without the support of full strength integrated simulation capability and the potential for, and possible forms of, closer integration between the two streams. An example of a system engineering application, an unmanned vehicle fleet providing emergency ambulance service, is examined as an application of the kind of multifaceted M&S methodology required to effectively deal with such systems.
dc.language.isoENen_US
dc.rightsAttribution 3.0 United States*
dc.rights.urihttp://creativecommons.org/licenses/by/3.0/us/*
dc.sourcecrossref
dc.subject.enModeling and Simulation
dc.subject.enDiscrete Event System Specification
dc.subject.enDEVS
dc.subject.enModel-Based System Engineering
dc.subject.enMBSE
dc.subject.enInternet of Things
dc.subject.enIot
dc.subject.enCyber Physical Systems
dc.subject.enCPS
dc.subject.enComplex Adaptive Systems of Systems
dc.title.enMBSE with/out Simulation: State of the Art and Way Forward
dc.title.alternativeSystemsen_US
dc.typeArticle de revueen_US
dc.identifier.doi10.3390/systems6040040en_US
dc.subject.halSciences de l'ingénieur [physics]en_US
bordeaux.journalSystemsen_US
bordeaux.page40en_US
bordeaux.volume6en_US
bordeaux.hal.laboratoriesIMS : Laboratoire de l'Intégration du Matériau au Système - UMR 5218en_US
bordeaux.issue4en_US
bordeaux.institutionUniversité de Bordeauxen_US
bordeaux.institutionBordeaux INPen_US
bordeaux.institutionCNRSen_US
bordeaux.peerReviewedouien_US
bordeaux.inpressnonen_US
bordeaux.import.sourcedissemin
hal.popularnonen_US
hal.audienceInternationaleen_US
hal.exportfalse
workflow.import.sourcedissemin
dc.rights.ccPas de Licence CCen_US
bordeaux.COinSctx_ver=Z39.88-2004&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.jtitle=Systems&rft.date=2018-11-15&rft.volume=6&rft.issue=4&rft.spage=40&rft.epage=40&rft.eissn=2079-8954&rft.issn=2079-8954&rft.au=ZEIGLER,%20Bernard&MITTAL,%20Saurabh&TRAORE,%20Mamadou&rft.genre=article


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