Page 12 - Design for Six Sigma a Roadmap for Product Development

x Contents

Chapter 12. Fundamentals of Experimental Design 413
12.1 Introduction to Design of Experiments (DOE) 413
12.2 Factorial Experiment 418
12.3 Two-Level Full Factorial Designs 426
12.4 Fractional Two-Level Factorial Design 437
12.5 Three-Level Full Factorial Design 446
12.6 Incomplete Factorial Experiments 450
12.7 Summary 468

Chapter 13. Taguchi’s Orthogonal Array Experiment 469
13.1 Taguchi’s Orthogonal Arrays 469
13.2 Taguchi Experimental Design 472
13.3 Special Techniques 476
13.4 Taguchi Experiment Data Analysis 483
13.5 Summary 491
Appendix: Selected Orthogonal Arrays 491
Chapter 14. Design Optimization:Taguchi’s Robust Parameter Design 499
14.1 Introduction 499
14.2 Loss Function and Parameter Design 500
14.3 Loss Function and Signal-to-Noise Ratio 508
14.4 Noise Factors and Inner-Outer Arrays 516
14.5 Parameter Design for Smaller-the-Better Characteristics 521
14.6 Parameter Design for Nominal-the-Best Characteristics 525
14.7 Parameter Design for Larger-the-Better Characteristics 528

Chapter 15. Design Optimization: Advanced Taguchi
Robust Parameter Design 533
15.1 Introduction 533
15.2 Design Synthesis and Technical Systems 535
15.3 Parameter Design for Dynamic Characteristics 546
15.4 Functional Quality and Dynamic S/N Ratio 565
15.5 Robust Technology Development 568

Chapter 16. Tolerance Design 571
16.1 Introduction 571
16.2 Worst-Case Tolerance 576
16.3 Statistical Tolerance 580
16.4 Cost-Based Optimal Tolerance 587
16.5 Taguchi’s Loss Function and Safety Tolerance Design 592
16.6 Taguchi’s Tolerance Design Experiment 599
16.7 Computer-Aided Robust Parameter and Tolerance Design 602
Chapter 17. Response Surface Methodology 611
17.1 Introduction 611
17.2 Search and Identify the Region That Contains the Optimal Solution 615
17.3 Response Surface Experimental Designs 622
17.4 Response Surface Experimental Data Analysis for Single Response 628