Practical Guide To Designed Experiments: A Unified Modular Approach

HOW A DESIGNED EXPERIMENT WORKS Polishing Fluid Delivery System Control Factors, Levels, and Coding Array Selection and Setup Noise Factors and Conditions Responses and Characteristic Responses Analysis of Means Analysis of Variance Conclusion FUNDAMENTAL CONCEPTS Food for Thought Over-the-Wall Engineering Contributions of Taguchi Stages of Design Defining Quality (Traditional Approach) Quadratic Loss Function The P-Diagram Conclusion Homework/Discussion Problems STATISTICAL CONCEPTS Review of Basic Concepts ANOM and ANOVA Homework/Discussion Problems ARRAY DESIGN (Two-Level Factors) Basic Concepts Interactions Design Trade-Offs and Strategies Homework/Discussion Problems SELECTION OF THE CHARACTERISTIC RESPONSE Response and Characteristic Response The "Natural Choice" Good Experimental Practice Linked to Long-Term Improvement Ease of Optimization and Implementation Taguchi's S/N Ratios Homework/Discussion Problems INCLUSION OF REAL-WORLD VARIABILITY Noise Conditions A Menu of Strategies Homework/Discussion Problems ADDITIONAL ARRAY DESIGNS (Three-Level Factors and Modifications) Standard Designs for Factors with Three Levels Design Strategies with Three-Level Factors Modification of Columns Homework/Discussion Problems ADDITIONAL ANALYSIS TECHNIQUES Choosing an Analysis Technique Pooling of Unused ("Empty") Columns Pooling of Smallest Effects Replication Normal Probability Plots Homework/Discussion Problems APPENDICES Two-Level Factorial Arrays Three-Level Factorial Arrays Screening Arrays Critical Values of F References Index Each chapter also includes and Overview and a section of Homework/Discussion problems.