Quality by experimental design


Quality by experimental design

Thomas B. Barker

(Quality and reliability, 43)

M. Dekker, c1994

2nd ed., rev. and expanded

  • : acid-free paper

大学図書館所蔵 件 / 8



Includes bibliographical references and index



This work combines proven statistical procedures with practical insights into planning experiments. The second edition takes the design of experiments beyond the mathematical model and into the area of product design optimization, introducing experimentation systems that assure maximum quality of information from the earliest prototype stages of design to the finished product. The book offers summaries of key concepts, end-of-chapter problems, and complete step-by-step examples for all methods and techniques covered.


Part 1 The Philosophy of Experimentation: Why Design Experiments?. Organizing the Experiment. The Neglected Response Variable. Part 2 Statistical Experimental Design: The Factorial 2-Level Design. Fractional Factorials at 2 Levels. Multi-Level Designs. 3-Level Designs. Blocking in Factorial Designs. Randomized Block and Latin Square. Nested Designs. Evolutionary Operation. Part 3 Sorting the Signal from the Noise: Simple Analysis. Analysis of Means by Using the Variance. YATES Algorithm. Matrix Algebra. Least Squares Analysis. Putting ANOVA and Least Squares to Work. ANOVA for Blocked and Nested Designs. Part 4 The Derivation of Empirical Equations from Statistically Designed Experiments: A Case History of an Experimental Investigation. Part 5 Utilization of Empirical Equations. Monte Carlo Simulation. Case History Completed - The Utilization of the Equation.

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