
Advanced Manufacturing and Automation X by Yi Wang
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.
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Advancements and Innovations in Smart Transportation
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Flexible Electronics for Electric Vehicles
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Proceedings of 2025 9th Chinese Conference on Swarm Intelligence and Cooperative Control
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New Frontiers in Electrical, Electronics and Information Engineering
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Proceedings of the 5th International Conference on Smart City and Green Energy
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Frontier and Future Development of Information Technology in Medicine and Education
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Communications, Signal Processing, and Systems
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Proceedings of the 16th International Conference on Renewable and Clean Energy
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Big Data and Cloud Computing
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The Proceedings of 2025 International Conference of Electrical, Electronic and Networked Energy Systems
- 2021 6th International Conference on Intelligent Transportation Engineering (ICITE 2021)
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Process Plant Design
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7th International Conference on Computing, Control and Industrial Engineering (CCIE 2023)
- Innovative Computing
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Proceeding of 2021 International Conference on Wireless Communications, Networking and Applications
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Traffic and QoS Management in Wireless Multimedia Networks
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.
| SKU | Unavailable |
| ISBN 13 | 9789813363175 |
| ISBN 10 | 9813363177 |
| Title | Advanced Manufacturing and Automation X |
| Author | Yi Wang |
| Series | Lecture Notes In Electrical Engineering |
| Condition | Unavailable |
| Binding Type | Hardback |
| Publisher | Springer Verlag, Singapore |
| Year published | 2021-01-23 |
| Number of pages | 753 |
| Cover note | Book picture is for illustrative purposes only, actual binding, cover or edition may vary. |
| Note | Unavailable |













