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Systems 2018, 6(4), 40; https://doi.org/10.3390/systems6040040

MBSE with/out Simulation: State of the Art and Way Forward

1
Co-Director of the Arizona Center for Integrative Modeling and Simulation (ACIMS), University of Arizona and Chief Scientist, RTSync Corp., 6909 W. Ray Road, Chandler, AZ 85226, USA
2
MITRE Corporation, 7515 Colshire Dr., McLean, VA 22102, USA
3
IMS CNRS UMR 5218, University of Bordeaux, 33405 Talence, France
*
Author to whom correspondence should be addressed.
Received: 11 October 2018 / Revised: 7 November 2018 / Accepted: 9 November 2018 / Published: 15 November 2018
(This article belongs to the Special Issue Model-Based Systems Engineering)
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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. View Full-Text
Keywords: modeling and simulation; discrete event system specification; DEVS; model-based system engineering; MBSE; internet of things; IoT; cyber physical systems; CPS; complex adaptive systems of systems modeling and simulation; discrete event system specification; DEVS; model-based system engineering; MBSE; internet of things; IoT; cyber physical systems; CPS; complex adaptive systems of systems
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This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited (CC BY 4.0).
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Zeigler, B.P.; Mittal, S.; Traore, M.K. MBSE with/out Simulation: State of the Art and Way Forward. Systems 2018, 6, 40.

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