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dc.contributor.authorZeigler, Bernard
dc.contributor.authorMittal, Saurabh
dc.contributor.authorTraore, Mamadou
dc.date.accessioned2019-06-06T17:34:53Z
dc.date.available2019-06-06T17:34:53Z
dc.date.issued2018-12
dc.identifier.citationZeigler BP, Mittal S, Traore MK. MBSE with/out Simulation: State of the Art and Way Forward. Systems. 2018; 6(4):40.en_US
dc.identifier.issn2079-8954
dc.identifier.doi10.3390/systems6040040
dc.identifier.urihttp://hdl.handle.net/10150/632516
dc.description.abstractThe 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.en_US
dc.language.isoenen_US
dc.publisherMDPIen_US
dc.relation.urlhttp://www.mdpi.com/2079-8954/6/4/40en_US
dc.rights© 2018 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license.en_US
dc.rights.urihttps://creativecommons.org/licenses/by/4.0/
dc.subjectmodeling and simulationen_US
dc.subjectdiscrete event system specificationen_US
dc.subjectDEVSen_US
dc.subjectmodel-based system engineeringen_US
dc.subjectMBSEen_US
dc.subjectinternet of thingsen_US
dc.subjectIoTen_US
dc.subjectcyber physical systemsen_US
dc.subjectCPSen_US
dc.subjectcomplex adaptive systems of systemsen_US
dc.titleMBSE with/out Simulation: State of the Art and Way Forwarden_US
dc.typeArticleen_US
dc.contributor.departmentUniv Arizona, ACIMSen_US
dc.identifier.journalSYSTEMSen_US
dc.description.noteOpen access journalen_US
dc.description.collectioninformationThis item from the UA Faculty Publications collection is made available by the University of Arizona with support from the University of Arizona Libraries. If you have questions, please contact us at repository@u.library.arizona.edu.en_US
dc.eprint.versionFinal published versionen_US
dc.source.journaltitleSystems
dc.source.volume6
dc.source.issue4
dc.source.beginpage40
refterms.dateFOA2019-06-06T17:34:53Z


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© 2018 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license.
Except where otherwise noted, this item's license is described as © 2018 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license.