Overview
- Features selected papers from the 13th International Workshop of Advanced Manufacturing and Automation
- Includes the latest research findings from leading researchers and practicing engineers
- Present latest development and innovation in intelligent manufacturing
Part of the book series: Lecture Notes in Electrical Engineering (LNEE, volume 1154)
Included in the following conference series:
Conference proceedings info: IWAMA 2023.
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Table of contents (91 papers)
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Front Matter
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Advanced Manufacturing and Automation XIII
Keywords
About this book
The book is a compilation of selected papers from the 13th International Workshop of Advanced Manufacturing and Automation (IWAMA 2023), held in Shanghai University of Engineering Science, China on 15 - 16 October, 2023. Topics focusing on novel techniques for manufacturing and automation in Industry 4.0 are now vital factors for the maintenance and improvement of the economy of a nation and the quality of life. It will help academic researchers and engineers to implement the concept, theory and methods in Industry 4.0 which has been a hot topic. These proceedings will make valuable contributions to academic researchers, engineers in the industry for the challenges in the 4th industry revolution and smart factories.
Editors and Affiliations
About the editors
Prof. Dr. Yi Wang obtained his PhD from Manufacturing Engineering Center, Cardiff University in 2008. He is a professor in Business School, University of Bedfordshire, Luton, UK. Previously, he worked in Southampton University, Nottingham Trent University, Manchester University and Plymouth University. He holds various visiting lectureships in several universities worldwide. Prof. Wang has special research interests in supply chain management, logistics, operation management, culture management and, Neuromarketing, big data and data analytics, and Industry 4.0/5.0. Prof Wang has published over 100 technical peer-reviewed papers in international journals, book chapters and conferences. He has authored 3 books,, 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 at Shanghai University of Engineering Science (SUES), China.Previously he was the president of Shanghai Polytechnic University (SSPU), China. He is a professor at Shanghai University (SHU). He received his PhD from SHU in 1997. Prof. 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 the vice director of Shanghai Arbitration Commission, and the vice chairman of the academic committee of Shanghai Key Laboratory of Smart Manufacturing and Robotics. He managed and performed about 20 national and Shanghai local 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).
Dr. Kesheng Wang holds PhD degree 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 XIII
Editors: Yi Wang, Tao Yu, Kesheng Wang
Series Title: Lecture Notes in Electrical Engineering
DOI: https://doi.org/10.1007/978-981-97-0665-5
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. 2024
Hardcover ISBN: 978-981-97-0664-8Published: 25 February 2024
Softcover ISBN: 978-981-97-0667-9Due: 05 April 2024
eBook ISBN: 978-981-97-0665-5Published: 24 February 2024
Series ISSN: 1876-1100
Series E-ISSN: 1876-1119
Edition Number: 1
Number of Pages: XXI, 756
Number of Illustrations: 111 b/w illustrations, 370 illustrations in colour
Topics: Control, Robotics, Mechatronics, Manufacturing, Machines, Tools, Processes, Robotics and Automation, Engineering Economics, Organization, Logistics, Marketing
Industry Sectors: Aerospace, Automotive, Biotechnology, Chemical Manufacturing, Consumer Packaged Goods, Electronics, Energy, Utilities & Environment, Engineering, IT & Software, Materials & Steel, Oil, Gas & Geosciences, Pharma, Telecommunications