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

Bernard P Zeigler , Saurabh Mittal (1) , Mamadou Kaba Traoré (2)

1 DUNIP Technologies [Tempe, AZ]
2 IMS - Laboratoire de l'intégration, du matériau au système

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.

Mots clés: 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

Domaines: Modélisation et simulation

Bernard P Zeigler, Saurabh Mittal, Mamadou Kaba Traoré. MBSE with/out Simulation: State of the Art and Way Forward. Systems, 2018, 6 (4), pp.40. ⟨10.3390/systems6040040⟩. ⟨hal-02968090⟩