Overview
- Presents the theoretical and empirical framework for the use of intelligent decision making methods in the field of quality control and management broadly
- Introduces new intelligent solution approaches to the traditional problems in quality management
- Intelligent decision making methods such as heuristics, fuzzy logic, queuing theory, artificial neural networks are investigated for the solution of quality management and control techniques
Part of the book series: Intelligent Systems Reference Library (ISRL, volume 97)
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About this book
This book presents recently developed intelligent techniques with applications and theory in the area of quality management. The involved applications of intelligence include techniques such as fuzzy sets, neural networks, genetic algorithms, etc. The book consists of classical quality management topics dealing with intelligent techniques for solving the complex quality management problems. The book will serve as an excellent reference for quality managers, researchers, lecturers and postgraduate students in this area. The authors of the chapters are well-known researchers in the area of quality management.
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Keywords
Table of contents (15 chapters)
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Front Matter
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Back Matter
Reviews
“They have produced this excellent collection, covering topics from literature surveys, industrial practices, theories, and case studies. The volume contains 15 chapters, each devoted to a facet of the field. … This collection should interest people who want a comprehensive overview or are starting research in this area.” (Anoop Malaviya, Computing Reviews, computingreviews.com, October, 2016)
Editors and Affiliations
Bibliographic Information
Book Title: Intelligent Decision Making in Quality Management
Book Subtitle: Theory and Applications
Editors: Cengiz Kahraman, Seda Yanik
Series Title: Intelligent Systems Reference Library
DOI: https://doi.org/10.1007/978-3-319-24499-0
Publisher: Springer Cham
eBook Packages: Engineering, Engineering (R0)
Copyright Information: Springer International Publishing Switzerland 2016
Hardcover ISBN: 978-3-319-24497-6Published: 12 November 2015
Softcover ISBN: 978-3-319-34317-4Published: 23 August 2016
eBook ISBN: 978-3-319-24499-0Published: 31 October 2015
Series ISSN: 1868-4394
Series E-ISSN: 1868-4408
Edition Number: 1
Number of Pages: XVIII, 466
Topics: Computational Intelligence, Artificial Intelligence, Operations Research/Decision Theory