Quality Improvement, 9th edition

Published by Pearson (July 14, 2021) © 2022

  • Dale H. Besterfield College of Engineering, Southern University at Carbondale, Besterfield and Associates
Products list

Details

  • A print edition

This product is expected to ship within 3-6 business days for US and 5-10 business days for Canadian customers.

Products list

Details

  • A print edition

This product is expected to ship within 3-6 business days for US and 5-10 business days for Canadian customers.

Products list

Details

  • A print edition

This product is expected to ship within 3-6 business days for US and 5-10 business days for Canadian customers.

Title overview

Quality Control focuses on the quantitative aspects of quality improvement, with sufficient theory to help you develop a solid understanding of basic quality principles. The text presents probability and statistical techniques using simpler math or developed via tables and charts, making the information easier to digest.

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

Need help?Get in touch