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Title:

Literature review and comparison of digital twin frameworks in manufacturing

Authors:
  • Erica Galli
  • Sylvain Lacroix
  • Virginia Fani
  • Romeo Bandinelli
  • Xavier Godart
  • Julien Le Duigou
  • Benoit Eynard
Published in:

(2023). ECMS 2023, 37th Proceedings
Edited by: Enrico Vicario, Romeo Bandinelli, Virginia Fani, Michele Mastroianni, European Council for Modelling and Simulation.
DOI: http://doi.org/10.7148/2023
ISSN: 2522-2422 (ONLINE)
ISSN: 2522-2414 (PRINT)
ISSN: 2522-2430 (CD-ROM)
ISBN: 978-3-937436-80-7
ISBN: 978-3-937436-79-1 (CD) Communications of the ECMS Volume 37, Issue 1, June 2023, Florence, Italy June 20th – June 23rd, 2023

DOI:

https://doi.org/10.7148/2023-0428

Citation format:

Erica galli, Sylvain lacroix, Virginia fani, Romeo bandinelli, Xavier godart, Julien le duigou, Benoit eynard (2023). Literature review and comparison of Digital Twin frameworks in Manufacturing, ECMS 2023, Proceedings Edited by: Enrico Vicario, Romeo Bandinelli, Virginia Fani, Michele Mastroianni, European Council for Modelling and Simulation. doi:10.7148/2023-0428

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.

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