Conceptual framework to support Digital Twin development for smart production systems
Ksenia Pystina  1@  , Lilia Gzara  1  , Vincent Cheutet  1  , Aicha Sekhari Seklouli  1  
1 : Décision et Information pour les Systèmes de Production
Université Lumière - Lyon 2, Université Claude Bernard Lyon 1, Institut National des Sciences Appliquées de Lyon

The manufacturing industry has undergone a significant transformation with the integration of digital technologies, leading to the emergence of "smart" production systems (SPS). SPS, characterized by the convergence of business, operational, and information levels, utilizes technologies such as the industrial internet of things and Digital Twins (DT). DTs, represented digitally through specific models, synchronize with real-world assets to enhance production capabilities. This paper addresses the crucial need for a structured approach in DT development projects, emphasizing alignment with strategic goals, consideration of multi-dimensional complexity, and overcoming technical challenges, including interoperability and data integration. The primary goal is to establish a conceptual framework for DT development, specifying business and use case-related requirements for the DT system.

Le résume est pour la session speciale "INGENIERIE SYSTEME" dans le cadre du comité technique IngeFutur avec le soutien de l'AFIS.



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