MBSE with/out Simulation: State of the Art and Way Forward
| dc.contributor.author | Zeigler, Bernard | |
| dc.contributor.author | Mittal, Saurabh | |
| dc.contributor.author | Traore, Mamadou | |
| dc.date.accessioned | 2019-06-06T17:34:53Z | |
| dc.date.available | 2019-06-06T17:34:53Z | |
| dc.date.issued | 2018-12 | |
| dc.identifier.citation | Zeigler 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.issn | 2079-8954 | |
| dc.identifier.doi | 10.3390/systems6040040 | |
| dc.identifier.uri | http://hdl.handle.net/10150/632516 | |
| dc.description.abstract | The 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.iso | en | en_US |
| dc.publisher | MDPI | en_US |
| dc.relation.url | http://www.mdpi.com/2079-8954/6/4/40 | en_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.uri | https://creativecommons.org/licenses/by/4.0/ | |
| dc.subject | modeling and simulation | en_US |
| dc.subject | discrete event system specification | en_US |
| dc.subject | DEVS | en_US |
| dc.subject | model-based system engineering | en_US |
| dc.subject | MBSE | en_US |
| dc.subject | internet of things | en_US |
| dc.subject | IoT | en_US |
| dc.subject | cyber physical systems | en_US |
| dc.subject | CPS | en_US |
| dc.subject | complex adaptive systems of systems | en_US |
| dc.title | MBSE with/out Simulation: State of the Art and Way Forward | en_US |
| dc.type | Article | en_US |
| dc.contributor.department | Univ Arizona, ACIMS | en_US |
| dc.identifier.journal | SYSTEMS | en_US |
| dc.description.note | Open access journal | en_US |
| dc.description.collectioninformation | This 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.version | Final published version | en_US |
| dc.source.journaltitle | Systems | |
| dc.source.volume | 6 | |
| dc.source.issue | 4 | |
| dc.source.beginpage | 40 | |
| refterms.dateFOA | 2019-06-06T17:34:53Z |

