2018-08-17 22:58:56
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Quality Engineering and Design of Experiments, Lecture Slides
  1. Chapter 1: Taguchi Methods Overview, Section 1.1: A Historical Review

  2. Chapter 1: Taguchi Methods Overview, Section 1.2: Design of Tile Manufacturing Process

  3. Chapter 1: Taguchi Methods Overview, Section 1.3: Design of a Brake Assembly

  4. Chapter 1: Taguchi Methods Overview, Section 1.4: Taguchi Methods Summary

  5. Chapter 2: Basics of Data Analysis, Section 2.1: Basic Statistics

  6. Chapter 3: Experiments with Orthogonal Arrays, Section 3.1: Methods of Experimental Design

  7. Chapter 3: Experiments with Orthogonal Arrays, Section 3.2: Building of Empirical Models

  8. Chapter 3: Experiments with Orthogonal Arrays, Section 3.3: Additive Models

  9. Chapter 3: Experiments with Orthogonal Arrays, Section 3.4: Additive Models with Interactions

  10. Chapter 3: Experiments with Orthogonal Arrays, Section 3.5: Overview of Orthogonal Arrays

  11. Chapter 4: Measure of Quality, Section 4.1: Methods of Quality Measurement

  12. Chapter 4: Measure of Quality, Section 4.2: Quality Loss

  13. Chapter 4: Measure of Quality, Section 4.3: S/N Ratios

  14. Chapter 4: Measure of Quality, Section 4.4: Numerical Meanings of S/N Ratios

  15. Chapter 4: Measure of Quality, Section 4.5: Polysilicon Deposition Process

  16. Chapter 4: Measure of Quality, Section 4.6: Other Types of Ideal Functions

  17. Chapter 5: Analysis of Variance, Section 5.1: Decomposition of Variations

  18. Chapter 5: Analysis of Variance, Section 5.2: Significance Tests

  19. Chapter 5: Analysis of Variance, Section 5.3: Pooling of Errors

  20. Chapter 5: Analysis of Variance, Section 5.4: Confidence Intervals

  21. Chapter 6: Robust Quality Design, Section 6.2: Reducing Interactions

  22. Chapter 7: Exploring Orthogonal Arrays, Section 7.1: Construction of Orthogonal Arrays

Quality Engineering and Design of Experiments, Homework Assignments
Quality Engineering and Design of Experiments, Supplementary Materials