Quality Improvement
Pearson New International Edition
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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.
Features + Benefits
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.
Hallmark Features
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.
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
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.
Features + Benefits
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.
Hallmark Features
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.
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
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.
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