Quality Improvement by Dale H. BesterfieldQuality Improvement by Dale H. Besterfield

Quality Improvement

byDale H. Besterfield

Hardcover | January 11, 2012

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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.

Title:Quality ImprovementFormat:HardcoverDimensions:288 pages, 11 × 8.5 × 0.7 inPublished:January 11, 2012Publisher:Pearson EducationLanguage:English

The following ISBNs are associated with this title:

ISBN - 10:0132624419

ISBN - 13:9780132624411

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Rated 4 out of 5 by from Concepts are clearly written, and explained Not an exciting book at all but I don't think there is a way to make Quality Improvement and assurance exciting. But as a textbook this is good. I found that concepts were clearly explained and therefore easy to understand. It was shipped form Chapters rather quickly and arrived in time for my course.
Date published: 2017-09-27

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



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


Answers to Selected Exercises