Industry 4.0 technologies have led to the affirmation of the Smart Manufacturing. In this paradigm Digital Twins (DTw) are defined as simulation models that are both getting data from the field and triggering actions on the physical equipment. With this paper, our aim is to extend the existing analysis of DTw in manufacturing from a technical and architecture point of view, trying to define correlations among DTw features. This work proposes a new framework, illustrating three reference architectures for the DTw that could help to define a guideline for the design and implementation of this technology. The results found are proposed as a driver for future research, aspiring to identify an architecture enabling a complete integration between DTw in manufacturing systems.

LITERATURE REVIEW AND COMPARISON OF DIGITAL TWIN FRAMEWORKS IN MANUFACTURING / Galli E.; Fani V.; Bandinelli R.; Lacroix S.; Le Duigou J.; Eynard B.; Godart X.. - ELETTRONICO. - 2023:(2023), pp. 428-434. (Intervento presentato al convegno 37th ECMS International Conference on Modelling and Simulation, ECMS 2023 tenutosi a ita nel 2023).

LITERATURE REVIEW AND COMPARISON OF DIGITAL TWIN FRAMEWORKS IN MANUFACTURING

Fani V.;Bandinelli R.;
2023

Abstract

Industry 4.0 technologies have led to the affirmation of the Smart Manufacturing. In this paradigm Digital Twins (DTw) are defined as simulation models that are both getting data from the field and triggering actions on the physical equipment. With this paper, our aim is to extend the existing analysis of DTw in manufacturing from a technical and architecture point of view, trying to define correlations among DTw features. This work proposes a new framework, illustrating three reference architectures for the DTw that could help to define a guideline for the design and implementation of this technology. The results found are proposed as a driver for future research, aspiring to identify an architecture enabling a complete integration between DTw in manufacturing systems.
2023
Proceedings - European Council for Modelling and Simulation, ECMS
37th ECMS International Conference on Modelling and Simulation, ECMS 2023
ita
2023
Galli E.; Fani V.; Bandinelli R.; Lacroix S.; Le Duigou J.; Eynard B.; Godart X.
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Utilizza questo identificatore per citare o creare un link a questa risorsa: https://hdl.handle.net/2158/1330047
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