ISBN-10:
0527916331
ISBN-13:
9780527916336
Pub. Date:
02/01/1990
Publisher:
Taylor & Francis
Designing for Quality: An Introduction to the Best of Taguchi and Western Methods of Statistical Experimental Design / Edition 1

Designing for Quality: An Introduction to the Best of Taguchi and Western Methods of Statistical Experimental Design / Edition 1

by Taylor and Francis, Joseph E. Matar

Hardcover

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Product Details

ISBN-13: 9780527916336
Publisher: Taylor & Francis
Publication date: 02/01/1990
Pages: 256
Product dimensions: 7.00(w) x 10.00(h) x 1.00(d)

Table of Contents

Preface
1 - INTRODUCTION

1.1 Modern quality control
1.2 Quality in engineering design
1.3 History of quality engineering: Japan versus U.S track records
1.4 Overview of contents


2 - THE TAGUCHI APPROACH TO QUALITY

2.1 Definition of quality
2.2 Loss function
2.3 Off-line and on-line quality control
2.4 Taguchi's quality philosophy


3 - TWO-LEVEL EXPERIMENTS: FULL FACTORIAL DESIGNS

3.1 Experimentation as a learning process
3.2 Traditional scientific experiments
3.3 Three-factor design
3.4 Replicating experiments
3.5 Factor interactions
3.6 Normal plots of estimated effects
3.7 Mechanical plating experiment - Example 3.4
3.8 Two-factor design
3.9 Four-factor design
3.10 Taguchi designs and Western designs


4 - TWO-LEVEL EXPERIMENTS: FRACTIONAL FACTORIAL DESIGNS

4.1 Fractional factorial designs based on eight-run experiments
4.2 Folding over an eight-run experimental design
4.3 Fractional factorial designs in sixteen runs
4.4 Folding over a sixteen-run experimental design
4.5 Blocking two-level designs
4.6 Other useful two-level designs


5 - EVALUATING VARIABILITY

5.1 Why analyze variability?
5.2 Measures ofvariability
5.3 The normal distribution
5.4 Using two-level designs to minimize variability
5.5 Signal-to-noise ratio
5.6 Minimizing variability and optimizing averages


6 - TAGUCHI INNER AND OUTER ARRAYS

6.1 Noise factors
6.2 Experimental designs for control and noise factors
6.3 Illustrative example - Example 6.1


7 - EXPERIMENTAL DESIGNS FOR FACTORS AT THREE AND FOUR LEVELS

7.1 Why use more than two levels?
7.2 Factors at four levels
7.3 Factors at three levels


8 - ANALYSIS OF VARIANCE IN ENGINEERING DESIGN

8.1 Hypothesis testing concepts
8.2 Using estimated effects as test statistics
8.3 Analysis of variance for two-level designs
8.4 When to use analysis of variance


9 - COMPUTER SOFTWARE FOR EXPERIMENTAL DESIGN

9.1 Role of computer software in experimental design
9.2 Summary of statistical packages
9.3 Examples of use of software packages
9.4 Summary


10 - USING EXPERIMENTS TO IMPROVE PROCESSES

10.1 Engineering design and quality improvement
10.2 Steps to implementing use of engineering design


Appendix A: Summary of Examples
Appendix B: Tables of Random Orderings for Eight- and Sixteen-Run Experiments
Glossary
Bibliography
Index

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