Useful Links
Statistics
Design of Experiments
1. Introduction to Design of Experiments
2. Fundamental Principles of Experimental Design
3. Planning and Conducting Experiments
4. Simple Comparative Experiments
5. Analysis of Variance (ANOVA)
6. Factorial Designs
7. Fractional Factorial Designs
8. Response Surface Methodology
9. Robust Design and Taguchi Methods
10. Advanced and Specialized Designs
11. Statistical Analysis and Model Building
12. Software Tools and Implementation
13. Quality Control and Best Practices
14. Applications and Case Studies
Robust Design and Taguchi Methods
Robustness Concepts
Definition of Robust Design
Sources of Variation
Quality Engineering Philosophy
Control and Noise Factors
Factor Classification
Noise Factor Types
External Noise
Internal Noise
Unit-to-Unit Noise
Control Factor Selection
Noise Factor Management
Taguchi's Quality Philosophy
Quality Loss Function
Nominal-the-Best
Smaller-the-Better
Larger-the-Better
Off-line Quality Control
Parameter vs. Tolerance Design
Signal-to-Noise Ratios
S/N Ratio Concepts
S/N Ratio Types and Calculations
Interpretation Guidelines
Limitations and Criticisms
Orthogonal Arrays in Robust Design
Array Selection
Factor Assignment
Interaction Considerations
Analysis Procedures
Parameter Design Experiments
Inner-Outer Array Structure
Crossed Array Designs
Combined Array Approaches
Analysis and Optimization
Alternative Approaches to Robust Design
Response Surface Methods
Dual Response Approach
Robust Parameter Design
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8. Response Surface Methodology
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10. Advanced and Specialized Designs