Smart Manufacturing Factory: Artificial-Intelligence-Driven Customized Manufacturing

Author:   Jiafu Wan ,  Baotong Chen ,  Shiyong Wang
Publisher:   Taylor & Francis Ltd
ISBN:  

9781032608969


Pages:   458
Publication Date:   28 December 2023
Format:   Hardback
Availability:   In Print   Availability explained
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Smart Manufacturing Factory: Artificial-Intelligence-Driven Customized Manufacturing


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Author:   Jiafu Wan ,  Baotong Chen ,  Shiyong Wang
Publisher:   Taylor & Francis Ltd
Imprint:   CRC Press
Weight:   1.025kg
ISBN:  

9781032608969


ISBN 10:   103260896
Pages:   458
Publication Date:   28 December 2023
Audience:   College/higher education ,  Professional and scholarly ,  Tertiary & Higher Education ,  Professional & Vocational
Format:   Hardback
Publisher's Status:   Active
Availability:   In Print   Availability explained
This item will be ordered in for you from one of our suppliers. Upon receipt, we will promptly dispatch it out to you. For in store availability, please contact us.

Table of Contents

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

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Author Information

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. He has directed 20 research projects, including the National Key Research and Development Program of China and the National Natural Science Foundation of China. Thus far, he has published more than 50 scientific papers, including 30+ SCI-indexed papers. According to Google Scholar Citations, his published work has been cited more than 5,000 times. He was listed as a Highly Cited Chinese Researcher by Elsevier (2020 and 2022).

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