Many engineers and scientists have receive little or no training in designed experiments, and any courses that are available tend to be either abstract and divorced from practical considerations or strictly practical-lacking the rigor and depth necessary for true, long-term understanding.
Practical Guide to Designed Experiments: A Unified Modular Approach bridges that gap, presenting the essential material in a manner that permits rapid application to practical problems but also provides the structure and understanding necessary for long-term growth. It covers two-level and three-level full and fractional factorial design and also includes the L12 and L18 designs popularized by Taguchi. The author describes the role and selection of the system response for measurement and optimization and discusses both conventional and Taguchi approaches, noting their similarities and differences.
Clearly written and well organized, this text shows how the components of experimental design fit and work together. Offering an abundance of examples, case studies, and practice problems, it is highly suited to anyone with a basic science or engineering background but little or no previous exposure to matrix experiments or other elements of planned experimentation.
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
Food for Thought
Contributions of Taguchi
Stages of Design
Defining Quality (Traditional Approach)
Quadratic Loss Function
Review of Basic Concepts
ANOM and ANOVA
ARRAY DESIGN (Two-Level Factors)
Design Trade-Offs and Strategies
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
INCLUSION OF REAL-WORLD VARIABILITY
A Menu of Strategies
ADDITIONAL ARRAY DESIGNS (Three-Level Factors and Modifications)
Standard Designs for Factors with Three Levels
Design Strategies with Three-Level Factors
Modification of Columns
ADDITIONAL ANALYSIS TECHNIQUES
Choosing an Analysis Technique
Pooling of Unused ("Empty") Columns
Pooling of Smallest Effects
Normal Probability Plots
Two-Level Factorial Arrays
Three-Level Factorial Arrays
Critical Values of F
Each chapter also includes and Overview and a section of Homework/Discussion problems.
"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
||September 27, 2016
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