This book introduces intelligent manufacturing system planning, design, and implementation, through the deep integration of the Internet, big data, artificial intelligence, and manufacturing process, to promote the transformation and upgrading of enterprises. This book shows the implementation of intelligent manufacturing process with 12 benchmarking enterprises, discusses the planning, implementation, and control of intelligent manufacturing system technology and method of theory, and analyzes the five hierarchies of intelligent manufacturing system, the five stages of life cycle, and five kinds of intelligent depth. The content can cultivate the reader's vocational ability to develop intelligent solutions and implementation based on complex, uncertain environment needs. This book will be interesting and useful to a wide readership in the various fields of management, information science, and engineering science.
Background, basic concept and method.- Spatial hierarchy dimension of Intelligent manufacturing.- Life cycle dimension of Intelligent manufacturing.- Intelligent feature dimension of Intelligent manufacturing.- Comprehensive implementation path of Intelligent manufacturing.- Future research and development direction.
Lai Chao'an received his Ph.D. from South China University of Technology in 2003. From 1995 to 1998, he worked in Guangxi Yuchai Machinery Co., Ltd., where he was engaged in mold design and manufacturing process design. From 2003 to 2021, he worked in the Department of Industrial Engineering, School of Business Administration, South China University of Technology. From 2016 to 2017, he spent one year as a visiting scholar at the University of Pittsburgh in the USA. His current interest lies in using the integration and application of the Internet, big data, and artificial intelligence in manufacturing enterprises to promote the transformation and upgrading of enterprises through the planning and design of intelligent manufacturing systems and the design of implementation paths.
Über den Autor
Lai Chao'an received his Ph.D. from South China University of Technology in 2003. From 1995 to 1998, he worked in Guangxi Yuchai Machinery Co., Ltd., where he was engaged in mold design and manufacturing process design. From 2003 to 2021, he worked in the Department of Industrial Engineering, School of Business Administration, South China University of Technology. From 2016 to 2017, he spent one year as a visiting scholar at the University of Pittsburgh in the USA. His current interest lies in using the integration and application of the Internet, big data, and artificial intelligence in manufacturing enterprises to promote the transformation and upgrading of enterprises through the planning and design of intelligent manufacturing systems and the design of implementation paths.
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Inhaltsverzeichnis
Background, basic concept and method.- Spatial hierarchy dimension of Intelligent manufacturing.- Life cycle dimension of Intelligent manufacturing.- Intelligent feature dimension of Intelligent manufacturing.- Comprehensive implementation path of Intelligent manufacturing.- Future research and development direction.
Klappentext
This book introduces intelligent manufacturing system planning, design, and implementation, through the deep integration of the Internet, big data, artificial intelligence, and manufacturing process, to promote the transformation and upgrading of enterprises. This book shows the implementation of intelligent manufacturing process with 12 benchmarking enterprises, discusses the planning, implementation, and control of intelligent manufacturing system technology and method of theory, and analyzes the five hierarchies of intelligent manufacturing system, the five stages of life cycle, and five kinds of intelligent depth. The content can cultivate the reader's vocational ability to develop intelligent solutions and implementation based on complex, uncertain environment needs. This book will be interesting and useful to a wide readership in the various fields of management, information science, and engineering science.
Demonstrates the implementation path of intelligent manufacturing
Applies technology from a system management perspective
Integrates theoretical models and practical approaches
