Model of Intention for the model specification verification during the simulation architecture design process

Barbedienne, Romain; Penas, Olivia; Yagoubi, Mouadh; Duceau, Eric; Landel, Eric

doi:10.1109/syseng.2018.8544437

Cited by 1 publication

(2 citation statements)

References 21 publications

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“…Simulation and model-based systems engineering have proven their effectiveness in the design of complex systems. Many methods have been developed linking these two approaches [8], [9], [10], [11], [12], [13], [14], [15], [4], [16] and [17]. As a result of their research [1] on the gap between the system architect and the model providers, G. Sirin et alintroduced a new actor in the design process called the Model Architect.…”

Section: B Systems Engineering and Simulationmentioning

confidence: 99%

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Model-based Systems Engineering methodology for defining multi-physics simulation models

Galisson

Hammadi

Gherib

et al. 2022

2022 IEEE International Systems Conference (SysCon)

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Due to the increasing complexity of the systems to be developed, it is necessary to proceed to an ever more precise modeling. The design of products delivered to customer are driven by industrial criteria grouped under the acronym SWaP-C (Size, Weight and Power and Cost). They must be the smallest, lightest, most energy-efficient, least expensive and most efficient as possible, with even shorter lead times and limited budgets. We identified two main problems in the design of complex systems, the need of a clear interface between Systems Engineering and Model Providers, and an adequate consideration of multi-physics and multi-component interactions. This paper suggests a methodology developed to ensure a consistency between the system architecture and models of physics simulation. This methodology creates a bridge between MBSE and physical simulation discipline by implementing an additional diagram/viewpoint on the ARCADIA method. This viewpoint will specify the models, organize model building and give stakeholders a common document on which they can exchange. It also allows being exhaustive on the interfaces and the physics involved. MBSE allows the understanding of customer needs, an exhaustive definition of system functionalities and setting up a physical architecture that serves as a reference for the construction of the physical simulation model architecture.

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Section: B Systems Engineering and Simulationmentioning

confidence: 99%

“…2. MIC Classes and their attributes [9] Multiple works have already used the Model Architect and MIC concepts [1], [9], [10], [17], [18], [20], [21] and [22]. Leroux-Beaudout et al [21] have shown that applying systems engineering principles to Physical Simulation Systems is possible and meaningful.…”

Section: Model Identity Cardmentioning

confidence: 99%