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Data-driven pattern-based constructs definition for the digital transformation modelling of collaborative networked manufacturing enterprises

Abstract : The digital transformation of collaborative networked manufacturing enterprises requires building and applying digital models representing the set of resources and processes knowledge. Modelling such digital copy of the physical system to perform real-time validation and optimization is quite complex and thus needs a big amount of data and some modelling patterns representing the operational semantics of the modelled elements. Generally, the modelling action has a specific application type. For this reason, the core challenge of the digital transformation modelling is to create a modular "digital model", namely a decomposable and re-composable model, towards different applications. The authors propose an approach based on the combination of data-driven and model-driven approaches, to identify and formalize modelling patterns, that combine for developing a modular executable model of the studied system.
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Submitted on : Tuesday, July 23, 2019 - 2:25:54 PM
Last modification on : Friday, February 14, 2020 - 11:44:33 AM

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Concetta Semeraro, Mario Lezoche, Hervé Panetto, Michele Dassisti, Stefano Cafagna. Data-driven pattern-based constructs definition for the digital transformation modelling of collaborative networked manufacturing enterprises. 20th Working Conference on Virtual Enterprises (PRO-VE), Sep 2019, Turin, Italy. pp.507-515, ⟨10.1007/978-3-030-28464-0_44⟩. ⟨hal-02191335⟩

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