Digital twin for smart manufacturing: a review of concepts towards a practical industrial implementation

Author:

Lattanzi Luca1ORCID,Raffaeli Roberto2,Peruzzini Margherita1ORCID,Pellicciari Marcello2ORCID

Affiliation:

1. ”Enzo Ferrari” Department of Engineering (DIEF), University of Modena and Reggio Emilia, Modena, Italy

2. Department of Sciences and Methods for Engineering (DISMI), University of Modena and Reggio Emilia, Reggio Emilia, Italy

Publisher

Informa UK Limited

Subject

Electrical and Electronic Engineering,Computer Science Applications,Mechanical Engineering,Aerospace Engineering

Reference128 articles.

1. Airbus Group. 2020. “Taking Flight with the Airbus Iron Bird.” Accessed 03 October 2020. https://www.airbus.com/newsroom/news/en/2017/05/taking-flight-with-the-airbus-iron-bird.html.

2. The use of Digital Twin for predictive maintenance in manufacturing

3. C2PS: A Digital Twin Architecture Reference Model for the Cloud-Based Cyber-Physical Systems

4. Digital twin-driven supervised machine learning for the development of artificial intelligence applications in manufacturing

5. AUCOTEC. 2017. “3 Industries Being Transformed by Digital Twins.” Accessed 03 October 2020. https://news.aucotec.com/3-industries-transformed-digital-twins/.

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