This book presents a set of innovative solutions to human-centric manufacturing systems, offering critical insights and comprehensive application guidelines for understanding how to realize human-centric smart manufacturing by exerting its power and influence towards Industry 5.0.
While human-centric manufacturing possesses a substantial and growing body of knowledge, there are distinct research gaps that are not sufficiently addressed. With the development of enabling technologies, it is necessary to propose more precise, robust, and practical approaches in support of smart manufacturing towards Industry 5.0. As a response to the new research opportunities, this book presents and highlights the latest development on applying advanced techniques in human-centric manufacturing. The book will be of interest to a broad readership, from academic researchers to practicing engineers
Table of Contents:
HSM Perspectives.- Human centric Smart Manufacturing and Interoperability towards the Industrial Metaverse.- Human centric Smart Manufacturing for Sustainability.- Human Digital Twin Modelling from a Human Factor Perspective.- Human centric smart design.- User participation in product conceptual design a process model and its iterative methodology.- Designing of a man machine-duplex production line for Human centric Smart Manufacturing towards Industry 5 0.- Smart product service system a systematic framework for engineering product development and service innovation in human-cyber physical system.- Towards Digital Twin for Human Skeleton in Smart Manufacturing with predictive modelling.- Human centric smart production.- Identification and control methods of human computer interaction safety behaviour in digital twin workshop.- Operation tasks assignment optimization of human robot collaboration system based on NSGA II.- Safe Human Robot Collaboration Using Multi Modal Perception and Robot Learning.- Human centric smart assembly.- Digital twin enabled assistance for human centric assembly.- A digital twin enabled approach to reliable human robot collaborative assembly.- Human robot collaboration empowered by digital twin and knowledge graph in an intelligent assembly system.- Deep reinforcement learning based robot adaptive action decision making considering biased operator's actions in the human robot collaborative assembly.- Human machine synchronization for smart assembly in the context of Industry 5 0.- Outlook and Future Trends.
About the Author :
Baicun Wang is currently a Research Professor and the Deputy Dean of School of Mechanical Engineering, Zhejiang University, China. Dr. Wang's research interests focus on research, innovation, and applications of human-centric smart manufacturing based on human-cyber-physical systems (HCPS), which include: (1) HCPS and human-robot collaboration, (2) Human-centric Smart Manufacturing, and (3) Human digital twin. Dr. Wang has secured over 10 research grants to date, with a total of more than 10 million. He has authored or co-authored over 70 scientific articles in journals, books, and peer-reviewed conference proceedings. He served as the Guest Editor for Journal of Manufacturing Systems, Chinese Journal of Mechanical Engineering, and reviewer for over 20 international scientific journals, including Robotics and Computer-Integrated Manufacturing, Journal of Manufacturing Systems, Nano Energy, and Applied Energy. He is also the Senior Member of Chinese Mechanical Engineering Society (CMES) and Chinese Association for Artificial Intelligence (CAAI).
Pai Zheng is currently an Associate Professor, Wong Tit Shing Endowed Young Scholar in Smart Robotics in the Department of Industrial and Systems Engineering and Director of Human-Machine Symbiotic Design and Manufacturing Laboratory (HMS-DML), at the Hong Kong Polytechnic University, HKSAR. His research interests include smart product-service systems, human-robot collaboration, and smart manufacturing systems. He is a Senior Member of IEEE/CMES, Member of SME/ASME, CIRP Associate Member, SME NAMRC Scientific Committee Member of Track 1: Manufacturing Systems, Technical Committee Member of IEEE Robotics and Automation Society TC-Digital Manufacturing and Human-Centred Automation, and CMES Industrial Big Data and Intelligent Systems Chapter. He also serves as the Associate Editor of Journal of Intelligent Manufacturing, Journal of Cleaner Production and IET Collaborative Intelligent Manufacturing, Editorial Board Member of SME Journal of Manufacturing Systems, Advanced Engineering Informatics, Journal of Engineering Design, and Guest Editor/Referee for many high-impact international journals in the manufacturing/industrial engineering field.
Lihui Wang is a Chair Professor of Sustainable Manufacturing at KTH Royal Institute of Technology, Sweden. He is also the Director of Centre of Excellence in Production Research (XPRES) - one of the five national strategic research centres at KTH. His research interests are focused on cyber-physical systems, human-robot collaborations, real-time monitoring and control, brain robotics, and adaptive manufacturing systems. Wang is actively engaged in various professional activities, serving as the Editor-in-Chief of three manufacturing journals: Robotics and Computer-Integrated Manufacturing, Journal of Manufacturing Systems, and International Journal of Manufacturing Research. He has published 11 books and authored in excess of 700 scientific publications. Wang is a Fellow of CAE (Canadian Academy of Engineering), CIRP (International Academy for Production Engineering), SME and ASME, the Past President of North American Manufacturing Research Institution of SME (2020-2021), and the Past Chairman of Swedish Production Academy (2018-2020). He was elected one of the 20 Most Influential Professors in Smart Manufacturing in 2020 and a Gold Medal recipient in 2024, both from the Society of Manufacturing Engineers.
Dimitris Mourtzis is Professor in the Department of Mechanical Engineering and Aeronautics, University of Patras, Greece. He is Fellow of the International Academy for Production Research (CIRP), Fellow of the International Federation of Automatic Control (IFAC 5.2), of the International Federation of Information Processing (IFIP WG 5.7), Member of the European Factories of the Future Association (EFFRA), of ASME and SME. He has authored monographs, book chapters, papers, and numerous articles in International scientific journals (peer-reviewed). He has published more than 375 scientific papers, at highly regarded international scientific journals and international scientific conferences, 3 books and 36 chapters in books. He is included in the ranking of the most important scientists in the world "Data for update science-wide author database of standardized citation indicators" published by Stanford University (2% of global top scientists based on their scientific background for 2022, 2023, 2024). He was awarded with the Burbidge Best Paper Award in APMS 2012, the Commended Paper Award in IFAC MIM 2022, the Best Paper Award in Applied Sciences (2020) and the Best presentation Award in 2nd Digital Twin Conference 2022. The unique citations of his published work exceed 18,500 (h-index 71, according to Google Scholar, Scopus, and ResearchGate. His scientific interests focus on the Simulation, Design, Planning and Control of Manufacturing Systems and Networks, Mixed Reality in Manufacturing, Design, Development, and Implementation of solutions based on Cloud Technologies, Internet of Things (IoT), the Digital Twin, 5G Cellular Networks and Artificial Intelligence. He is also actively involved in the Digital Transformation and Implementation of Industry 4.0 as well as of the upcoming Industry 5.0 and Society 5.0 practices and Industrial Metaverse.
