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A Multicomponent Distributed Framework for Smart Production System Modeling and Simulation

Abstract : In order to control manufacturing systems, managers need risk and performance evaluation methods and simulation tools. However, these simulation techniques must evolve towards being multiperformance, multiactor, and multisimulation tools, and this requires interoperability between those distributed components. This paper presents an integrated platform that brings interoperability to several simulation components. This work expands the process modeling tool Papyrus to allow it to communicate with external components through both distributed simulation and cosimulation standards. The distributed modeling and simulation framework (DMSF) platform takes its environment into consideration in order to evaluate the sustainability of the system while integrating external heterogeneous components. For instance, a DMSF connection with external IoT devices has been implemented. Moreover, the orchestration of different smart manufacturing components and services is achieved through configurable business models. As a result, an automotive industry case study has successfully been tested to demonstrate the sustainability of smart supply chains and manufacturing factories, allowing better connectivity with their real environments.
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Submitted on : Thursday, November 12, 2020 - 10:59:25 AM
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Simon Gorecki, Jalal Possik, Gregory Zacharewicz, Yves Ducq, Nicolas Perry. A Multicomponent Distributed Framework for Smart Production System Modeling and Simulation. Sustainability, MDPI, In press, 12 (17), pp.6969. ⟨hal-03001010⟩

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