Practical Guide To Designed Experiments: A Unified Modular Approach

by Paul D. Funkenbusch

Overview

Presenting essential material in a modular approach that permits rapid application to practical problems, this guide provides the structure and understanding necessary for long-term growth and comprehension of this fascinating subject.

Product Details

ISBN-13:	9780203997314
Publisher:	CRC Press
Publication date:	11/12/2004
Series:	Mechanical Engineering
Sold by:	Barnes & Noble
Format:	eBook
Pages:	224
File size:	5 MB

About the Author

Paul D. Funkenbusch

Table of Contents

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.

Editorial Reviews

"This book thoroughly explains how the components of experimental design fit and work together using a unified modular approach … The book is clearly written and well organized, offering numerous examples and case studies from many disciplines. … Summing Up: Highly recommended."
- CHOICE, June 2005
"..includes a good balance of quantitative problems and opportunities for reflection on the concepts introduced."
MRS Bulletin, Volume 30, October 2005
"This book is a great introduction to experimental design for anyone who is unfamiliar with it. It covers statistics, fundamental array design, Taguchi techniques and various analysis techniques. [The author] describes a clear summary of each statistical method, citing concrete examples. Homework helps you to check your understanding in each chapter. It is very helpful to use in various fields and occasions. After learning these techniques, I'm sure you'll be a good experiment designer, saving time, cost and energy."
- Akihisa Nishimura, Manager, Fuel Cell Production Engineering, Toyota Motor Corporation

"This book provides an excellent introduction to DOE, allowing a rapid understanding and use of the material for practical problems. It covers the essential techniques and terminology used along with an up-front, worked-out example to illustrate how the DOE are conducted."
-IEEE Electrical Insulation Magazine, Vol. 22, No. 1, 2006

From the Publisher