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Title:

Vertically-integrated digital twins for rapid adaptation of manufacturing value-chains

Authors:
  • Ozan Emre Demir
  • Marcello Colledani
  • Uwe Teicher
  • Anas Ben Achour
  • Andre Seidel
  • Albrecht Haenel
  • Anteneh Teferi Yemane
  • Giovanni Paolo Borzi
  • Jan-Frederik Uhlenkamp
  • Sebastian Eberlein
  • Remco Poelarends
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/10.7148/2023-0435

Citation format:

Ozan emre demir, Marcello colledani, Uwe teicher, Anas ben achour, Andre seidel, Albrecht haenel, Anteneh teferi yemane, Giovanni paolo borzi, Jan-frederik uhlenkamp, Sebastian eberlein, Remco poelarends (2023). Vertically-Integrated Digital Twins for Rapid Adaptation of Manufacturing Value-Chains, ECMS 2023, Proceedings Edited by: Enrico Vicario, Romeo Bandinelli, Virginia Fani, Michele Mastroianni, European Council for Modelling and Simulation. doi:10.7148/2023-0435

Abstract:

The rapid changes in social, political and economic policies in today’s European landscape create an increasingly turbulent and demanding market. In response to disruptive internal and external factors, the manufacturing industry strives to establish integrated, intelligent and digital solutions, targeting sustainable, reconfigurable and resilient systems capable of swiftly ramping up to maximum production capacity, enabling rapid adaptations in product functionality, process technology and production volume. In this context, Digital Twins (DTs) are means to map complex manufacturing systems and process chains for fast and efficient reconfiguration of production lines and entire value chains. This paper proposes a holistic architecture for digital twins spanning various hierarchical levels: (i) product level, (ii) process level, (iii) system level, and (iv) system of systems level. The benefits and challenges of the proposed approach are discussed in a real case study from automotive industry.

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