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Prof. Lihui Wang

Prof. Lihui Wang, KTH Royal Institute of Technology, Sweden

Title

Dispatching a Digital Twin to the Future for Predictive Maintenance

Abstract

Advanced manufacturing depends on the timely acquisition, distribution, and utilisation of information from machines and processes across spatial boundaries. These activities can improve accuracy and reliability in predicting resource needs and allocation, maintenance scheduling, and remaining service life of equipment. As an emerging tool, digital twin provides new opportunities to achieve the goals of advanced manufacturing. This talk will first present the current status and the latest advancement of CPS in manufacturing in general and digital twin in particular. In order to understand CPS and its future potential in manufacturing, definitions and characteristics of CPS will be explained and compared with the digital twin concept. This talk will then review the historical development of prognosis theories and techniques, and project their future growth enabled by the emerging CPS and digital twin technologies. Techniques both digital twin and CPS are highlighted, as well as the influence of these techniques on prognosis in smart factories of the future. Research and applications will also be outlined to highlight the latest advancement in the field. While digital twin shows great promise in factories of the future, challenges towards Internet-of-Everything in the areas of future trends remain to be identified in this talk.

Biography

Lihui Wang is a Professor and Chair of Sustainable Manufacturing at KTH Royal Institute of Technology, Sweden. His research interests are focused on cyber-physical systems, cloud manufacturing, predictive maintenance, real-time monitoring and control, human-robot collaborations, adaptive and sustainable manufacturing systems. Professor Wang is actively engaged in various professional activities. He is the Editor-in-Chief of International Journal of Manufacturing Research, Journal of Manufacturing Systems, and Robotics and Computer-Integrated Manufacturing. He has published 8 books and authored in excess of 450 scientific publications. Professor Wang is a Fellow of CIRP, SME and ASME, Chairman of Swedish Production Academy, and Secretary of North American Manufacturing Research Institution of SME.

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Important Dates

Deadline for abstracts:
June 20th, 2019
Acceptance notice for abstracts:
June 25th, 2019
Deadline for the full text:
August 5th, 2019
Notification of Acceptance and Revision:
August 25th, 2019
Deadline for Revision:
September 10th, 2019
Registration:
October 9th, 2019
Meeting date:
October 10th, 2019
Date for Investigation and Study:
October 12th, 2019
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