Manufacturing Intelligence for Industrial Engineering: Methods for System Self-Organization, Learning, and Adaptation

Manufacturing Intelligence for Industrial Engineering: Methods for System Self-Organization, Learning, and Adaptation

Zude Zhou, Huaiqing Wang, Ping Lou
Release Date: March, 2010|Copyright: © 2010 |Pages: 407
DOI: 10.4018/978-1-60566-864-2
ISBN13: 9781605668642|ISBN10: 1605668648|EISBN13: 9781605668659
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Description & Coverage
Description:

The manufacturing industry has experienced dramatic change over the years with growing advancements, implementations, and applications in technology.

Manufacturing Intelligence for Industrial Engineering: Methods for System Self-Organization, Learning, and Adaptation focuses on the latest innovations for developing, describing, integrating, sharing, and processing intelligent activities in the process of manufacturing in engineering. Containing research from leading international experts, this publication provides readers with scientific foundations, theories, and key technologies of manufacturing intelligence.

Coverage:

The many academic areas covered in this publication include, but are not limited to:

  • Artificial Neural Networks
  • Communication and interaction protocol
  • Computing intelligence
  • Cooperation, negotiation, and behavior coordination
  • Industrial Engineering
  • Intelligent activities in manufacturing
  • Intelligent agents
  • Intelligent technology applications in manufacturing
  • Knowledge acquisition and management
  • Methods of data fusion
  • Modern manufacturing
  • Multi-sensor information fusion
  • Problem solving and interaction mechanism
  • Theories of multi-agent systems
Reviews & Statements

Manufacturing Intelligence for Industrial Engineering: Methods for System Self-Organization, Learning, and Adaptation provides readers with the scientific foundations, theories, and key technologies of manufacturing intelligence. Readers will obtain valuable enlightenment for their future research activities.

– Huaiqing Wang, City University of Hong Kong, Hong Kong
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Editor/Author Biographies
Zude Zhou is a professor at the School of Mechanical and Electronic Engineering, Wuhan University of Technology, P. R. China. He is also the President of Wuhan University. He received his Bachelor degree in Electrical Engineering from Huazhong University of Technology, China, in 1970.He attended in a advanced studies at Birmingham, UK, from 1984-1986. He was also a Visiting Professor of the University of Bolton, UK, a Visiting Professor of Hong Kong University, Hong kong, and a Visiting Scientist of National University of Singapore, Singapore. Mr. Zhou specializes in control and application of microcomputer, electromechanical integration technology, intelligent manufacturing, digital manufacturing, network manufacturing. He published more than 300 articles.
Huaiqing Wang is a Professor at the Department of Information Systems, City University of Hong Kong. He is also the Honorary Dean and a Guest Professor of the School of Information Engineering, Wuhan University of Technology, China. He received his PhD in Computer Science from University of Manchester, UK, in 1987. Dr. Wang specializes in research and development of business intelligence systems, intelligent agents and their applications (such as multi-agent supported financial information systems, virtual learning systems, knowledge management systems, conceptual modeling and ontology). He has published more than 40 international refereed journal articles.
Ping Lou is an Associate Professor at the School of Automation, Wuhan University of Technology, P. R. China. She received his PhD in Mechanical Engineering from Huazhong University of Science and Technology, P. R. China, in 2004. Dr. Lou specializes in research and development of intelligent manufacturing and network manufacturing. She has published more than 20 articles.
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