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.
Table of Contents
Table of Contents
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
