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Title Intelligent decision making in quality management : theory and applications / Cengiz Kahraman, Seda Yanık
Published Cham : Springer, 2016

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Description 1 online resource
Series Intelligent systems reference library ; 97
Intelligent systems reference library ; 97.
Contents Preface; Contents; 1 Intelligent Decision Making Techniques in Quality Management: A Literature Review; Abstract; 1.1 Introduction; 1.2 Intelligent Techniques; 1.2.1 Particle Swarm Optimization; 1.2.2 Genetic Algorithms; 1.2.3 Fuzzy Sets; 1.2.4 Ant Colony Optimization; 1.2.5 Bee Colony Optimization; 1.2.6 Neural Networks; 1.2.7 Simulated Annealing; 1.2.8 Tabu Search; 1.2.9 Swarm Intelligence; 1.2.10 Differential Evolution; 1.3 Some Quality Problem Areas Solved by Intelligent Techniques; 1.4 Graphical Analyses of Literature Review; 1.5 Conclusion and Future Trends; References
2 Intelligent Process Control Using Control Charts -- I: Control Charts for VariablesAbstract; 2.1 Introduction; 2.2 Classical Shewhart Control Charts for Variables; 2.2.1 {\overline{{\varvec X}}} and R Control Charts; 2.2.1.1 Control Limits for {\overline{{\varvec X}}} and R Control Charts; 2.2.1.2 A Numerical Example; 2.2.2 {\overline{{\varvec X}}} and S Control Charts; 2.2.2.1 Control Limits for {\overline{{\varvec X}}} and S Control Charts; 2.2.2.2 A Numerical Example; 2.3 Moving Average (MA) Control Charts; 2.3.1 Exponentially Weighted Moving Average (EWMA) Control Charts
2.3.1.1 A Numerical Example2.3.2 Maximum Generally Weighted Moving Average (MaxGWMA) Control Charts; 2.4 Unnatural Patterns for Control Charts; 2.4.1 Western Electric Rules; 2.4.2 Nelson Rules; 2.4.3 Other Named Rules; 2.5 Ranking Fuzzy Numbers and Direct Fuzzy Approach; 2.6 Fuzzy Approaches for Control Charts for Variables; 2.6.1 Fuzzy {\overline{{\varvec X}}} and R Control Charts; 2.6.2 Fuzzy {\overline{{\varvec X}}} and S Control Charts; 2.6.3 Fuzzy Exponentially Weighted Moving Average (FEWMA) Control Charts; 2.6.3.1 Fuzzy EWMA Control Charts When {\tilde{\sigma}} Are Known
2.6.3.2 Fuzzy EWMA Control Charts When {\tilde{\upsigma}} Are Unknown2.6.4 Fuzzy Maximum Generally Weighted Moving Average (FMaxGWMA) Charts; 2.6.5 A Numerical Example for \overline{\bi X} -R Control Chart; 2.7 Fuzzy Unnatural Pattern Analyses for Control Charts for Variables; 2.7.1 Probability of Fuzzy Events; 2.7.2 Generation of Fuzzy Rules for Unnatural Patterns; 2.7.3 An Illustrative Example; 2.8 Conclusion; Appendix A; Appendix B; References; 3 Intelligent Process Control Using Control Charts -- II: Control Charts for Attributes; Abstract; 3.1 Introduction
3.2 Control Charts for Attributes3.2.1 Control Chart for Fraction of Nonconformities: p-Chart; 3.2.2 Control Chart for Number of Nonconformities: np-Chart; 3.2.3 Control Chart for Nonconformities: c-Chart; 3.2.4 Control Charts for Nonconformities Per Unit: u-Charts ; 3.3 Fuzzy Control Charts for Attributes; 3.3.1 Fuzzy Numbers and Fuzzy Control Charts; 3.3.2 Fuzzy \tilde{p} -Control Chart; 3.3.2.1 alpha -Cut Fuzzy \tilde{{\varvec p}} -Control Charts; 3.3.2.2 alpha -Level Fuzzy Median for alpha -Cut Fuzzy \widetilde{{\varvec p}} -Control Chart
Summary 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
Bibliography Includes bibliographical references and index
Notes English
Online resource; title from PDF title page (EBSCO, viewed November 4, 2015)
Subject Decision making.
Total quality management.
Quality control.
Artificial intelligence.
decision making.
quality control.
artificial intelligence.
Artificial intelligence.
Operational research.
BUSINESS & ECONOMICS -- Industrial Management.
BUSINESS & ECONOMICS -- Management.
BUSINESS & ECONOMICS -- Management Science.
BUSINESS & ECONOMICS -- Organizational Behavior.
Artificial intelligence
Decision making
Quality control
Total quality management
Form Electronic book
Author Kahraman, Cengiz, author.
Yanık, Seda, editor
ISBN 9783319244990
331924499X