Overview

For undergraduate and graduate-level courses in Quality Control, Improvement and Assurance This edition will be valuable in programs such as Quality Improvement, Lean Six Sigma, Quality Control, and Statistical Process Control; in Associate Degree in Quality and other technical programs; in Baccalaureate programs in Engineering, Technology, Health Care, Education, and Business; and in Masters Degree programs in business. An introduction to quality, this edition has been 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 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.

Full Product Details

Author:   Dale Besterfield
Publisher:   Pearson Education Limited
Imprint:   Pearson Education Limited
Edition:   9th edition
Dimensions:   Width: 22.00cm , Height: 1.00cm , Length: 28.00cm
Weight:   0.674kg
ISBN:  

9781292022307

ISBN 10:   1292022302
Pages:   264
Publication Date:   01 August 2013
Audience:   College/higher education ,  Tertiary & Higher Education
Format:   Paperback
Publisher's Status:   Active
Availability:   In Print  
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Table of Contents

1. Introduction to Quality Improvement 2. Lean Enterprise 3. Six Sigma 4. Fundamentals of Statistics 5. Statistical Process Control 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 Answers to Selected Exercises Index

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