Simulation-Based Systems Engineering

Tolk, Andreas; Glazner, Christopher; Pitsko, Robert

doi:10.1007/978-3-319-61264-5_4

Cited by 7 publications

(2 citation statements)

References 33 publications

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“…This is an example for the highest form of bottom-up generation of a common scenario. Reference modeling, in contrast, is a top-down approach that starts with the development of a common understanding of the task that has to be supported by the simulation composition, be it the training of military personnel, such as pilots, 89 or the support of conducting advanced medical analysis, such as better understanding blast injury. 36 The theoretical foundation for reference modeling applications 90 was motivated by the already mentioned work on ontologies and model theory.…”

Section: Reference Modeling and Model Theoretic Implicationsmentioning

confidence: 99%

Conceptual alignment for simulation interoperability: lessons learned from 30 years of interoperability research

Tolk

2023

SIMULATION

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This position paper provides first, a literature survey of selected domains with significant contributions to simulation interoperability research, such as defense and healthcare simulation, including insights from academia and research organizations. Next, four main interoperability methods are reviewed, i.e., messages-oriented methods, use of information exchange models and common object models, and reference modeling, including ontological means. This review leads to the observation that successful approaches do not only rely on technical solutions but are also using conceptual alignment of the underlying models as well. The Levels of Conceptual Interoperability Model is revisited to consider how it contributed—and still contributes today—to reach meaningful interoperability between model-based solutions. Its descriptive and prescriptive use is discussed, and it is applied to the four methods to show its practical applicability.

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Section: Reference Modeling and Model Theoretic Implicationsmentioning

confidence: 99%

Conceptual alignment for simulation interoperability: lessons learned from 30 years of interoperability research

Tolk

2023

SIMULATION

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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%

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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