GORECKI, Simon; POSSIK, Jalal; ZACHAREWICZ, Grégory; DUCQ, Yves; PERRY, Nicolas

doi:10.3390/info12020071

Groupe de Recherche en Economie Théorique et Appliquée [GREThA]

POSSIK, Jalal
Advanced Disaster, Emergency and Rapid Response Simulation [ADERSIM]

ZACHAREWICZ, Grégory
Laboratoire des Sciences des Risques [LSR]

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Article de revue

Ce document a été publié dans

Information. 2021, vol. 12, n° 2, p. 71

MDPI

Résumé en anglais

Nowadays, industries are implementing heterogeneous systems from different domains, backgrounds, and operating systems. Manufacturing systems are becoming more and more complex, which forces engineers to manage the complexity in several aspects. Technical complexities bring interoperability, risk management, and hazards issues that must be taken into consideration, from the business model design to the technical implementation. To solve the complexities and the incompatibilities between heterogeneous components, several distributed and cosimulation standards and tools can be used for data exchange and interconnection. High-level architecture (HLA) and functional mockup interface (FMI) are the main international standards used for distributed and cosimulation. HLA is mainly used in academic and defense domains while FMI is mostly used in industry. In this article, we propose an HLA/FMI implementation with a connection to an external business process-modeling tool called Papyrus. Papyrus is configured as a master federate that orchestrates the subsimulations based on the above standards. The developed framework is integrated with external heterogeneous components through an FMI interface. This framework is developed with the aim of bringing interoperability to a system used in a power generation company< Réduire

Mots clés en anglais

HLA

FMI

risk management

interoperability

modeling and simulation

Papyrus

JaamSim

Industry 4.0

URI

https://oskar-bordeaux.fr/handle/20.500.12278/75874

DOI

http://dx.doi.org/10.3390/info12020071

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Business models for distributed-simulation orchestration and risk management

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Business models for distributed-simulation orchestration and risk management

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