DOE Simplified: Practical Tools for Effective Experimentation

摘要: Basic Statistics for DOE The "X" Factors Does Normal Distribution Ring Your Bell? Descriptive Statistics: Mean and Lean Confidence Intervals Help You Manage Expectations Graphical Tests Provide Quick Check Normality Practice Problems Simple Comparative Experiments F-Test Simplified A Dicey Situation: Making Sure They Are Fair Catching Cheaters with a Experiment Blocking Out Known Sources of Variation Two-Level Factorial Design Design: As as Microwave Popcorn How to Plot Interpret Interactions Protect Yourself Analysis Variance (ANOVA) Modeling Responses Predictive Equations Diagnosing Residuals Validate Statistical Assumptions Appendix: Make More Useful Pareto Chart Dealing Nonnormality via Response Transformations Skating on Thin Ice Log Transformation Saves the Data Choosing Right Problem Fractional Factorials Example at Its Finest Potential Confusion Caused by Aliasing in Lower Resolution Plackett-Burman Designs Irregular Fractions Clearer View Getting Most from Minimal-Run Minimal-Resolution Dancing Raisin Complete Foldover III Single-Factor Choose High-Resolution Reduce Minimum-Run Screening General Multilevel Categoric Putting Spring Step: Toys Analyze Unreplicated Half-Normal Surface Methods Optimization Center Points Detect Curvature Confetti Augmenting Central Composite (CCD) Finding Sweet Spot Multiple Mixture Two-Component Good Gold Three-Component Teeny Beany Back Basics: Keys Four-Step Process Designing Case Study Showing Application Details Power Managing What Might Reveal Increase Range Decrease Noise (sigma) System Accept Greater Risk Type I Error (alpha) Select Better and/or Bigger Split-Plot Accommodate Hard-to-Change Split Plots Naturally Emerged Agricultural Field Applying Save Time Paper Helicopters Trade-Off Convenience When Restricting Randomization One Example: Heavy-Duty Industrial #1: Breaking Clips #2: Hand-Eye Coordination Other Fun Ideas Ball Funnel Flight Balsa Buzzard Airplanes Impact Craters Appendix 1 Two-Tailed t-Table F-Table 10% 5% 1% 0.1% 2 Four-Factor Characterization Main Effects 8 Runs Layout Alias Structure Characterizing 12 Two-Factor Interaction Model Effect Five-Factor 16 (2FI) Six-Factor 14 22 Seven-Factor 30 Glossary Symbols Terms Recommended Readings Textbooks Articles Index