I. Introduction to Smart Manufacturing Factory II. Edge Intelligence in Customized Manufacturing III. Heterogeneous Networks in Smart Manufacturing Factory IV. Intelligent Fault Diagnosis and Maintenance in Smart Manufacturing Factory V. Resource Dynamic Scheduling in Manufacturing VI. Implementation of Customized Manufacturing Factory
Artificial Intelligence (AI) technologies enable manufacturing systems to sense the environment, adapt to external needs, and extract process knowledge. This book therefore focuses on the implementation of AI in customized manufacturing (CM).
Jiafu Wan is a Professor in School of Mechanical & Automotive Engineering at South China University of Technology, China. He has directed 20 research projects, including the National Key Research and Development Program of China, and the Joint Fund of the National Natural Science Foundation of China and Guangdong Province. Thus far, he has published more than 160 scientific papers, including 120+ SCI-indexed papers, and 50+ IEEE Trans./Journal papers. According to Google Scholar Citations, his published work has been cited more than 21,000 times. He was listed as a Clarivate Analytics Highly Cited Researcher (2019-2022).
Baotong Chen received the Ph.D. degree mechanical engineering from the Department of Mechanical & Electrical Engineering, South China University of Technology (SCUT). He is currently a Lecturer with the Department of Industrial Engineering and Manufacturing, Wuhan University of Science and Technology (WUST). His research interests include equipment preventive maintenance, multi-robot collaboration, and mixed model assembly.
Shiyong Wang is an Associate Professor in the School of Mechanical & Automotive Engineering at South China University of Technology, China.l°
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