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Open AccessArticle

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

Zeigler, B.P.; Mittal, S.; Traore, M.K. MBSE with/out Simulation: State of the Art and Way Forward. Systems 2018, 6, 40. https://doi.org/10.3390/systems6040040

AMA Style

Zeigler BP, Mittal S, Traore MK. MBSE with/out Simulation: State of the Art and Way Forward. Systems. 2018; 6(4):40. https://doi.org/10.3390/systems6040040

Chicago/Turabian Style

Zeigler, Bernard P.; Mittal, Saurabh; Traore, Mamadou K. 2018. "MBSE with/out Simulation: State of the Art and Way Forward" Systems 6, no. 4: 40. https://doi.org/10.3390/systems6040040

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