Quality Improvement

Formerly titled Quality Control, the field's most accessible introduction to quality has been renamed and revamped to focus on quantitative aspects of quality improvement. New chapters on Lean Enterprise, Six Sigma, Experimental Design, and Taguchi's Quality Engineering have been added, and this new Ninth Edition adds comprehensive coverage of fundamental statistical quality improvement concepts. A practical state-of-the-art approach is stressed throughout, and sufficient theory is presented to ensure that students develop a solid understanding of basic quality principles. To improve accessibility, probability and statistical techniques are presented through simpler math or developed via tables and charts. As with previous editions, this text is written to serve a widely diverse audience of students, including the growing number of "math shy" individuals who must play key roles in quality improvement.

1. Introduction to Quality Improvement

2. Lean Enterprise

3. Six Sigma

4. Statistical Process Control

5. Fundamentals of Statistics

6. Control Charts for Variables

7. Additional SPC Techniques for Variables

8. Fundamentals of Probability

9. Control Charts for Attributes

10. Acceptance Sampling.

11. Reliability

12. Management and Planning Tools

13. Experimental Design

14. Taguchi’s Quality Engineering

Appendix

Table A. Areas under the Normal Curve

Table B. Factors for Computing Central Lines and 3 Control Limits for S, and R Charts

Table C. The Poisson Distribution

Table D. Random Numbers

Table E. Commonly Used Conversion Factors

Table-F. Critical Values of T Distribution

Table G-1. Critical Values of F Distribution (a = 0.1)

Table G-2. Critical Values of F Distribution (a = 0.05)

Table G-3. Critical Values of F Distribution (a = 0.01)

Table H. Orthogonal Arrays

Selected Bibliography

Glossary

Answers to Selected Exercises

Index

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Summary

Table of Contents

Supplemental Materials