Quality Improvement

Description

For undergraduate and graduate-level courses in Quality Control, Statistical Process Control, Quality Improvement, and Quality Assurance. This book 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.

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.

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.

For undergraduate and graduate-level courses in Quality Control, Statistical Process Control, Quality Improvement, and Quality Assurance. This book 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.

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.

Fully prepares students to participate in modern Total Quality Management programs and initiatives. Offers a full chapter introducing TQM principles and Practices, and another on TQM tools and techniques, establishing a foundation for deeper coverage of specific quality tools, techniques, and standards later in the text.

Gives students hands-on practice with realistic quality data. Contains exercises at the end of each chapter; boxed example problems throughout; and a CD-ROM of quality data files using the Microsoft Excel format.

Gives students the conceptual and qualitative understanding they need before they can master quantitative techniques. Prepares students for quantitative quality analysis by first introducing qualitative aspects of SPC, fundamentals of statistics, control charts for variables and attributes, and other crucial concepts and techniques.  

Introduces students to the field’s most important standards and awards. Includes summaries of the ISO 14000 and FMEA standards, as well as information on the categories and criteria for winning the Malcolm Baldrige National Quality Award.

Helps students understand exactly what they will be learning. Provides clear learning objectives at the beginning of each chapter, to help students focus their study.

Helps students see how and why the quality improvement discipline emerged, and how it has evolved. Includes historical review and introductory sections placing key concepts and techniques in context.

This edition has been thoroughly reworked to focus on the quantitative aspects of quality improvement, while retaining the accessibility and user-friendliness that has made it a market leader through eight previous editions.

New! Thoroughly revamped to focus on quantitative as well as qualitative techniques for quality improvement–offering accessible, easy-to-understand coverage of all facets of modern quality programs

• Prepares students to participate in any aspect of quality improvement — quantitative, qualitative, or both 

New! New introductory chapter–briefly describing all leading quality improvement tools and techniques

• Gives students a quick jumpstart for understanding the broad discipline of quality improvement 

New! Brand-new Lean Enterprise chapter–covering crucial topics such as value stream mapping and lean implementation

• Introduces students to powerful new techniques for continuously improving value across the entire value stream, and beyond the borders of the individual corporation 

New! Brand-new Six Sigma chapter–presenting Six Sigma fundamentals, including the DMAIC improvement methodology

• Enables students to work successfully in any role or organization that participates in Six Sigma

New! Thorough introduction to experimental design–including hypotheses, t and F tests, one-factor, orthogonal design, point and interval estimates, two factors, full factorials, and fractional factorials     

• Introduces students to the crucial issues associated with experimental design, helping them recognize and avoid problems that might compromise quality control or improvement

New! Chapter-length introduction to Taguchi’s Quality Engineering–including objectives, loss function, orthogonal arrays, S/N ratios, and parameter and tolerance design

• Helps students apply Taguchi’s pioneering methods in areas ranging from manufacturing and engineering to healthcare and marketing

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