Thursday, October 17th 2024

(Milan Time) 9:00 -10:00

(Beijing Time) 15:00-16:00

Tencent ID : 502-1550-7842

Weblink: https://meeting.tencent.com/dm/re95HNeoVy0c

Biography

Prof. Jan C. Aurich received his Ph.D. degree from Leibniz University Hannover in 1995. From 1990 to 1995, he was a research assistant at the Institute for Production Engineering and Machine Tools, Leibniz University of Hannover, and led the “CAD/CAPP” team from 1993. From 1995 to 2002, he played a management role in both production and development departments at Daimler AG. In 2002, he became the chair professor of the Institute for Manufacturing Technology and Production Systems at TU Kaiserslautern. In 2013-2014, he was a Fulbright Visiting Professor at UC Davis, USA. Prof. Aurich is a member of the German National Academy of Science and Engineering (acatech) and the German Academic Association for Production Technology (WGP), and a fellow of the International Academy for Production Engineering (CIRP). His research interests include micro-manufacturing, product-service systems, sustainable manufacturing, and digital production.

Title: From Theory to the Shop Floor: Framework for Digital Twins in Manufacturing

Abstract

The concept of digital twins (DTs) revolutionizes modern manufacturing by enhancing the physical system with a digital system. However, a lack of consensus and uniform agreement on the definition of DT prevents the utilization of its full potential.

In a first step, various definitions of DTs, the different areas of application in manufacturing systems (factory, process, machine level), and different purposes (diagnosis, monitoring and control, prediction) are outlined. The benefits and challenges of DTs and the implementation in  manufacturing systems are identified.

Afterwards, a review of current research regarding implemented applications of DTs in  manufacturing scenarios is presented, resulting in an overview of recent advancements. Based on  that, implications for future research directions are highlighted.

Finally, the paper proposes a novel framework designed for DTs in manufacturing. This framework serves as a foundation for further research and practical implementation within the industry.