Digital Twins and Artificial Intelligence for Sustainability

This learning path provides an understanding on the coupling of digital twins and artificial intelligence for a sustainable manufacturing environment, employing two process use cases. The general concept of artificial intelligence (AI) in manufacturing is introduced, together with the connection between sustainability key performance indicators (KPIs) and Digital Twins. In particular, Digital Twins are depicted, highlighting their role as key enabling technologies to monitor and optimize manufacturing processes, discussing how AI can augment their capability to improve decision-making. One use case, pertaining to quality control, is thus illustrated as example.

ABOUT THE AUTHOR

Cefriel is a Digital Innovation and Design Shop, based in Milan, with offices in New York, and London. Since its inception in 1988, Cefriel mission has been to help companies grow by exploiting digital technologies to create or reinvent their processes, products, and services, strengthen existing ties between the academic and business worlds through a multidisciplinary approach that innovates products and services with ICT and Design. Thanks to its distinctive operative model, Cefriel creates innovative solutions based on customer requirements and integrating the most recent scientific research results, the best technologies available on the market, the emerging standards and the reality of business processes.