Contribution and challenges of multiagent simulation for factory digital twin

Abstract : A key technology for the Industry of the Future One of top 10 strategic technology trends for 2019 (cf. Gartner) A factory digital twin serves as a virtual replica of what is actually happening on the factory floor in near-real time SOLYSTIC SOSi TM SOLYSTIC is a provider of solutions for mail and parcel industry SOSi TM is an inhouse developped factory/supply chain digital twin; simulates 1 production year in 10 minutes Enables digital VSM and optimization of processes A solution for making easier the transition FROM Simulation as a tool for Observation: to understand the behavior of the reference system thanks to a model that is considered as a miniature reproduction of the reference system TO Simulation as a tool for Validation: to test an hypothesis of the reference system, to validate or to certify the underlying theory. Why? A CPS System is often Complex: the global behavior of the system is hard to model and any modifications is difficult Multiagent solution: The global system is not explicitly designed Multiagent solution: The multiagent concepts can be understood by non-experts Open: new component may be added to the system leading to a modification of the initial model Multiagent solution: only the new components and its interaction with other components must be designed Heterogeneous: different decision models, data models, … Multiagent solution: the resulting model is independent of the domain and can integrate several point of views. Decentralized: many local decisions without a centralized control Multiagent solution: decentralization management is the core of a multiagent system.
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Poster communications
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https://hal-emse.ccsd.cnrs.fr/emse-02102177
Contributor : Florent Breuil <>
Submitted on : Wednesday, April 17, 2019 - 10:19:24 AM
Last modification on : Tuesday, November 19, 2019 - 2:38:49 AM

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  • HAL Id : emse-02102177, version 1

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Flavien Balbo, Sophie Peillon, Benjamin Serra. Contribution and challenges of multiagent simulation for factory digital twin. Un état des lieux sur les activités de recherche sur l‘intelligence artificielle dans les écoles de l’IMT, Apr 2019, Paris, France. ⟨emse-02102177⟩

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