BIO

Yang Liu received his M.Sc. (Tech.) degree in telecommunication engineering and D.Sc. (Tech.) degree in industrial management from the University of Vaasa, Finland, in 2005 and 2010, respectively. He is currently a tenured Senior Associate Professor with the Department of Management and Engineering, Linköping University, Sweden and an Adjunct Professor with the Industrial Engineering and Management, University of Oulu, Finland. He has been an Adjunct/Visiting Professor at multiple other universities. His research interests include sustainable smart manufacturing, product service innovation, decision support system, competitive advantage, control systems, autonomous robots, signal processing, and pattern recognition. Prof. Liu has authored or co-authored over 130 Web of Science publications. He is ranked No.1 among the top authors on “big data analytics in manufacturing” and "Industry 4.0‑driven operations and supply chains for the circular economy", and among the top 1% of scientists in Engineering and Technology as well as Stanford-Elsevier list of the world's top 2% scientists. His publications have appeared in multiple distinguished journals, and some ranked in the top 0.1% ESI Hot Papers and the top 1% ESI Highly Cited Papers. He serves as co-Editor-in-Chief of Cleaner Engineering and Technology, Associate Editor of the prestigious Journal of Cleaner Production and Journal of Intelligent Manufacturing, and Editor or Guest Editor in several other renowned journals. He also serves as a reviewer in over 80 Web of Science journals with the Top Reviewer reward for Decision Sciences and an expert evaluator for NSERC of Canada and CONICYT of Chile.

ABSTRACT

Innovations in smart technologies, such as the Internet of Things, Cyber-Physical System, Cloud Computing, Artificial Intelligence, Big Data Analytics, Digital Twin, etc., have enabled the progress of smart manufacturing. There is a lot of existing research on smart manufacturing and sustainable manufacturing. However, some problems are difficult but have not been adequately addressed so far. Sustainable smart manufacturing aims to integrate and apply various smart technologies in the entire lifecycle and decision-making processes, discover the real potential of lifecycle big data, achieve data and knowledge sharing among all lifecycle stages, and support the achievement of sustainable smart manufacturing in a lifecycle perspective. The talk will provide a comprehensive system view of sustainable solutions, especially in the production and operations management, and emerging technologies in digitalization and modelling to create the new paradigm of sustainable smart manufacturing in a broader range of product lifecycles. The current state of the art and challenges are examined, and future research directions are suggested.