Practical Guide To Designed Experiments

Practical Guide To Designed Experiments: A Unified Modular Approach

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ISBN 9780824753887
Cat# DK1182
 

Features

  • Offers clear, factual instruction, explaining both "how" and "why"
  • Presents the material using a modular approach based on three essential building blocks: array design, response selection, and incorporation of "noise"
  • Begins with the design and analysis of a simple experiment and progresses to menus of basic strategies for experiment design and explanations of how and when to use each technique
  • Includes 2-level and 3-level experimental design variants
  • Covers data analysis by analysis of means, analysis of variance, and the use of normal probability plots
  • Provides numerous practice problems
  • Summary

    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
    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

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