Computational Intelligence in Remanufacturing

Computational Intelligence in Remanufacturing

Indexed In: INSPEC, SCOPUS View 1 More Indices
Release Date: December, 2013|Copyright: © 2014 |Pages: 348
DOI: 10.4018/978-1-4666-4908-8
ISBN13: 9781466649088|ISBN10: 1466649089|EISBN13: 9781466649095
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Description & Coverage
Description:

In attempts to reduce greenhouse gas emissions, many alternatives to manufacturing have been recommended from a number of international organizations. Although challenges will arise, remanufacturing has the ability to transform ecological and business value.

Computational Intelligence in Remanufacturing introduces various computational intelligence techniques that are applied to remanufacturing-related issues, results, and lessons from specific applications while highlighting future development and research. This book is an essential reference for students, researchers, and practitioners in mechanical, industrial, and electrical engineering.

Coverage:

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

  • Closed-Loop Supply Chain
  • Computational Intelligence
  • Environmental Friendly Manufacturing
  • Information and Communication Technology
  • Product Embedded Intelligence Device
  • Product Recovery Management
  • Radio Frequency Identification
  • Remanufacturing
  • Sustainability
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Editor/Author Biographies
Bo Xing, is a Senior Lecturer under the division of Asset Integrity Management Centre at the Department of Mechanical and Aeronautic Engineering, Faculty of Engineering, Built Environment and Information Technology, University of Pretoria, South Africa. Dr. Xing earned his DIng degree (Doctorate in Engineering with a focus on remanufacturing) in the early 2013 from the University of Johannesburg, South Africa. He also obtained his BSc and MSc degree in Mechanical Engineering from the Tianjin University of Science and Technology, P.R. China, and the University of KwaZulu-Natal, South Africa, respectively. He was a scientific researcher at the Council for Scientific and Industrial Research (CSIR), South Africa. He has published more than 50 research papers in books, international journals, and international conference proceedings. His current research interests lie in applying various nature-inspired computational intelligence methodologies towards miniature robot design and analysis, advanced mechatronics system, reconfigurable manufacturing system, e-maintenance, production planning and scheduling, routing and network design in remanufacturing and closed-loop supply chain.
Wen-Jing Gao, is a Senior Sales Representative affiliated to the Department of New Product Development, Mei Yuan Mould Design and Manufacturing Co., Ltd, P.R. China. Mrs. Gao holds a BCom (Honors in Economics) degree from the University of Kassel, Germany. Since 2005, she has been working closely with Dr. Xing in various academic- or industrial-oriented projects. She has published more than 40 technical articles in books, international journals, and international conference proceedings. Her research interests include computational intelligence, new product development, the Internet of things, information management, recommender system design, customer oriented business model, product service system, ambient intelligence, mechatronics, miniature robot design and analysis, remanufacturing, reconfigurable manufacturing system, cellular manufacturing system, flexible manufacturing system, and closed-loop supply chain management. Mrs. Gao has presented her work at various international level of conferences such as IEEE International Conference on Systems, Man, and Cybernetics (IEEE SMC), Annual IEEE International Conference on Fuzzy Systems (FUZZ-IEEE), Annual IEEE Congress on Evolutionary Computation (IEEE CEC), IEEE World Congress on Computational Intelligence (IEEE WCCI), IEEE Symposium Series on Computational Intelligence (IEEE SSCI), IEEE/ASME International Conference on Mechatronic and Embedded Systems and Application, International Conference on Industrial Engineering and Systems Management (IESM), International Symposium on Neural Networks (ISNN), and International Conference on Swarm Intelligence (ICSI).
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