Coverart for item
The Resource Intelligent decision making in quality management : theory and applications, Cengiz Kahraman, Seda Yanık

Intelligent decision making in quality management : theory and applications, Cengiz Kahraman, Seda Yanık

Label
Intelligent decision making in quality management : theory and applications
Title
Intelligent decision making in quality management
Title remainder
theory and applications
Statement of responsibility
Cengiz Kahraman, Seda Yanık
Contributor
Subject
Language
eng
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
Member of
Dewey number
658.403
Index
index present
Literary form
non fiction
Nature of contents
  • dictionaries
  • bibliography
http://library.link/vocab/relatedWorkOrContributorName
  • Kahraman, Cengiz,
  • Yanık, Seda,
Series statement
Intelligent systems reference library
Series volume
97
http://library.link/vocab/subjectName
  • Decision making
  • Total quality management
  • Quality control
  • Artificial intelligence
Label
Intelligent decision making in quality management : theory and applications, Cengiz Kahraman, Seda Yanık
Instantiates
Publication
Antecedent source
unknown
Bibliography note
Includes bibliographical references and index
Color
multicolored
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
Control code
ocn927404606
Dimensions
unknown
Extent
1 online resource
File format
unknown
Form of item
online
Isbn
9783319244990
Level of compression
unknown
Quality assurance targets
not applicable
Reformatting quality
unknown
Sound
unknown sound
Specific material designation
remote
System control number
(OCoLC)927404606
Label
Intelligent decision making in quality management : theory and applications, Cengiz Kahraman, Seda Yanık
Publication
Antecedent source
unknown
Bibliography note
Includes bibliographical references and index
Color
multicolored
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
Control code
ocn927404606
Dimensions
unknown
Extent
1 online resource
File format
unknown
Form of item
online
Isbn
9783319244990
Level of compression
unknown
Quality assurance targets
not applicable
Reformatting quality
unknown
Sound
unknown sound
Specific material designation
remote
System control number
(OCoLC)927404606

Library Locations

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      Albany, Auckland, 0632, NZ
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