Overview
- Broad and complete coverage of intelligent decision-making techniques for engineering management
- The only available book in Engineering management focusing on Intelligent Techniques in Engineering Management
- Includes didactic examples of each intelligent technique for engineering management and real case studies
- Includes supplementary material: sn.pub/extras
Part of the book series: Intelligent Systems Reference Library (ISRL, volume 87)
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Table of contents (27 chapters)
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Front Matter
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Engineering Management and Intelligent Systems
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Front Matter
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Intelligent Systems in Management
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Front Matter
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Production Management
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Front Matter
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Economical and Financial Management
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Front Matter
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Keywords
About this book
This book presents recently developed intelligent techniques with applications and theory in the area of engineering management. The involved applications of intelligent techniques such as neural networks, fuzzy sets, Tabu search, genetic algorithms, etc. will be useful for engineering managers, postgraduate students, researchers, and lecturers.
The book has been written considering the contents of a classical engineering management book but intelligent techniques are used for handling the engineering management problem areas. This comprehensive characteristics of the book makes it an excellent reference for the solution of complex problems of engineering management. The authors of the chapters are well-known researchers with their previous works in the area of engineering management.
Editors and Affiliations
Bibliographic Information
Book Title: Intelligent Techniques in Engineering Management
Book Subtitle: Theory and Applications
Editors: Cengiz Kahraman, Sezi Çevik Onar
Series Title: Intelligent Systems Reference Library
DOI: https://doi.org/10.1007/978-3-319-17906-3
Publisher: Springer Cham
eBook Packages: Engineering, Engineering (R0)
Copyright Information: Springer International Publishing Switzerland 2015
Hardcover ISBN: 978-3-319-17905-6Published: 19 May 2015
Softcover ISBN: 978-3-319-34360-0Published: 09 October 2016
eBook ISBN: 978-3-319-17906-3Published: 05 May 2015
Series ISSN: 1868-4394
Series E-ISSN: 1868-4408
Edition Number: 1
Number of Pages: XXV, 747
Number of Illustrations: 172 b/w illustrations, 19 illustrations in colour
Topics: Computational Intelligence, Artificial Intelligence, Operations Research/Decision Theory, Engineering Economics, Organization, Logistics, Marketing