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Computational Intelligence in Remanufacturing

Computational Intelligence in Remanufacturing

Copyright: © 2014 |Pages: 348
ISBN13: 9781466649088|ISBN10: 1466649089|EISBN13: 9781466649095
DOI: 10.4018/978-1-4666-4908-8
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MLA

Xing, Bo, and Wen-Jing Gao. Computational Intelligence in Remanufacturing. IGI Global, 2014. https://doi.org/10.4018/978-1-4666-4908-8

APA

Xing, B. & Gao, W. (2014). Computational Intelligence in Remanufacturing. IGI Global. https://doi.org/10.4018/978-1-4666-4908-8

Chicago

Xing, Bo, and Wen-Jing Gao. Computational Intelligence in Remanufacturing. Hershey, PA: IGI Global, 2014. https://doi.org/10.4018/978-1-4666-4908-8

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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.

Table of Contents

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Front Materials
Title Page
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Copyright Page
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Advances in Environmental Engineering and Green Technologies (AEEGT) Book Series
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Dedication
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Foreword
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Preface
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Acknowledgment
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Chapters
Chapter 1
Introduction  (pages 25-26)
Introduction
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Chapter 2
Retrieval  (pages 37-37)
Retrieval
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Chapter 3
Reproduction  (pages 134-134)
Reproduction
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Chapter 4
Redistribution  (pages 203-203)
Redistribution
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Chapter 5
Epilogue  (pages 237-237)
Epilogue
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Back Materials
Compilation of References
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About the Contributors
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Index
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