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systems-06-00040-v2.pdf
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Affiliation
Univ Arizona, ACIMSIssue Date
2018-12Keywords
modeling and simulationdiscrete 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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MDPICitation
Zeigler BP, Mittal S, Traore MK. MBSE with/out Simulation: State of the Art and Way Forward. Systems. 2018; 6(4):40.Journal
SYSTEMSRights
© 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.Collection Information
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.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.Note
Open access journalISSN
2079-8954Version
Final published versionAdditional Links
http://www.mdpi.com/2079-8954/6/4/40ae974a485f413a2113503eed53cd6c53
10.3390/systems6040040
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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.

