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Table of 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.
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.