Overview
- Features selected papers from the 10th International Workshop of Advanced Manufacturing and Automation (IWAMA 2020), held in Zhanjiang, China
- Includes the latest research findings from leading researchers and practicing engineers
- Present latest development and innovation in Intelligent Manufacturing
- Helps engineers keep abreast of emerging trends
Part of the book series: Lecture Notes in Electrical Engineering (LNEE, volume 737)
Included in the following conference series:
Conference proceedings info: IWAMA 2020.
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Table of contents (94 papers)
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Front Matter
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Advanced Manufacturing and Automation X
Keywords
About this book
This book presents selected papers from the 10th International Workshop of Advanced Manufacturing and Automation (IWAMA 2020), held in Zhanjiang, Guangdong province, China, on October 12-13, 2020. Discussing topics such as novel techniques for manufacturing and automation in Industry 4.0 and smart factories, which are vital for maintaining and improving economic development and quality of life, it offers researchers and industrial engineers insights into implementing the concepts and theories of Industry 4.0, in order to effectively respond to the challenges posed by the 4th industrial revolution and smart factories.
Editors and Affiliations
About the editors
Dr. Yi Wang obtained his PhD from Manufacturing Engineering Center, Cardiff University in 2008. Hu is a lecturer in Business School, Plymouth University, UK. Previously he worked in the department of Computer Science, Southampton University and at the Business School, Nottingham Trent University. He holds various visiting lectureship in several universities worldwide. Dr. Wang has special research interests in supply chain management, logistics, operation management, culture management, Big data and data analytics, Neuromarketing, and Industry 4.0/5.0. Dr. Wang has published over 100 technical peer-reviewed papers in international journals, book chapters and conferences. He has authored 3 books, for example, Operations Management for Business, Fashion Supply Chain Management and Data Mining for Zero-defect Manufacturing. etc., edited 6 books, and made 5 book chapters.
Dr. Tao Yu is the president of Shanghai Second Polytechnic University (SSPU),China and professor of Shanghai University (SHU). He received his PhD from SHU in 1997. Professor Yu is a member of the Group of Shanghai manufacturing information and a Committee member of the International Federation for Information Processing IFIP /TC5. He is also an executive vice president of Shanghai Science Volunteer Association, and executive director of Shanghai Science and Art Institute of Execution. He managed and perform about 20 national, Shanghai, enterprises commissioned projects. He has published hundreds of academic papers, of which about thirty were indexed by SCI, EI. His research interests are mechatronics, computer integrated manufacturing system (CIMS) and Grid Manufacturing.
Dr. Kesheng Wang holds a PhD in production engineering from the Norwegian University of Science and Technology (NTNU), Norway. Since 1993, he has been appointed Professor at the Department of Mechanical and Industrial Engineering, NTNU. He was a director of the Knowledge Discovery Laboratory (KDL) at NTNU. He is also an active researcher and serves as a technical adviser in SINTEF. He was elected member of the Norwegian Academy of Technological Sciences (NTVA) in 2006. He has published 22 books, 10 book chapters and over 300 technical peer-reviewed papers in international journals, book chapters and conferences. Professor Wang’s current areas of interest are intelligent manufacturing systems, applied computational intelligence, data mining and knowledge discovery, Predictive/Cognitive Maintenance and Industry 4.0.
Bibliographic Information
Book Title: Advanced Manufacturing and Automation X
Editors: Yi Wang, Kristian Martinsen, Tao Yu, Kesheng Wang
Series Title: Lecture Notes in Electrical Engineering
DOI: https://doi.org/10.1007/978-981-33-6318-2
Publisher: Springer Singapore
eBook Packages: Intelligent Technologies and Robotics, Intelligent Technologies and Robotics (R0)
Copyright Information: The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2021
Hardcover ISBN: 978-981-33-6317-5Published: 23 January 2021
Softcover ISBN: 978-981-33-6320-5Published: 23 January 2022
eBook ISBN: 978-981-33-6318-2Published: 22 January 2021
Series ISSN: 1876-1100
Series E-ISSN: 1876-1119
Edition Number: 1
Number of Pages: XX, 753
Number of Illustrations: 132 b/w illustrations, 349 illustrations in colour
Topics: Control, Robotics, Mechatronics, Manufacturing, Machines, Tools, Processes, Engineering Economics, Organization, Logistics, Marketing, Artificial Intelligence