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Communication Dans Un Congrès Année : 2020

Towards a Digital Twin for Cyber-Physical Production Systems: A Multi-Paradigm Modeling Approach in the Postal Industry

Résumé

This paper presents our early-stage research on a Multi-Paradigm Modeling (MPM) approach as an initial step towards the definition of a Digital Twin (DT) for Cyber-Physical Production Systems (CPPSs). This work takes place in the context of the digitalization of the mail sorting process at La Poste, the French national postal service company. Indeed, La Poste is currently investing on robotics modules for automatically loading mail containers. The main objective is to reduce the painful work for human operators while optimizing the robots usage. We already worked on targeting such a balance in a past effort that resulted in the production of different kinds of models of the La Poste CPPS. However, these models were defined separately and are not directly related to the underlying business process in particular. Thus, we propose an MPM approach starting from this business process as now modeled explicitly in a BPMN model. Then, we refine the high-level business activities into finer-grained activities represented in a UML Activity model. From these latest, we derive the specification of a Multi-Agent System (MAS) developed with the JADE framework and emulating the behavior of the La Poste CPPS. Our longer term objective is to pave the way for supporting the definition of a DT for this CPPS, and potentially for other CPPSs in different contexts in the future.
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Dates et versions

hal-02925123 , version 1 (28-08-2020)
hal-02925123 , version 2 (07-09-2020)

Identifiants

Citer

Asmaa Niati, Cyrine Selma, Dalila Tamzalit, Hugo Bruneliere, Nasser Mebarki, et al.. Towards a Digital Twin for Cyber-Physical Production Systems: A Multi-Paradigm Modeling Approach in the Postal Industry. ACM/IEEE 23rd International Conference on Model Driven Engineering Languages and Systems (MODELS '20 Companion), Oct 2020, Virtual Event, Canada. ⟨10.1145/3417990.3421438⟩. ⟨hal-02925123v2⟩
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