Introduction to Statistical Quality Control / Edition 5

by Douglas C. Montgomery

Overview

Douglas Montgomery's modern introduction to SQC prepares you for professional practice with comprehensive coverage of current statistical methods for quality control and improvement. With this text, you'll learn how to apply state-of-the-art techniques for statistical process monitoring and control, design experiments for process characterization and optimization, conduct process robustness studies, and implement quality management techniques such as the six-sigma approach. Fully updated and revised, this Fifth Edition features more fully integrated coverage of Minitab, new homework problems, new and more modern examples, and more.

Product Details

ISBN-13:	9780471656319
Publisher:	Wiley
Publication date:	08/28/2004
Edition description:	Older Edition
Pages:	776
Product dimensions:	8.33(w) x 10.35(h) x 1.35(d)

About the Author

Douglas C. Montgomery Professor of Engineering and Statistics at Arizona State University, received his B.S., M.S., and Ph.D. degrees from Virginia Polytechnic Institute, all in engineering, from 1969 to 1984 he was a faculty member of the School of Industrial & Systems Engineering at the Georgia Institute of Technology; from 1984 to 1988 he was at the University of Washington, where he held the John M. Fluke Distinguished chair of Manufacturing Engineering, was Professor of Mechanical Engineering, and Director of the Program in industrial Engineering.

Dr. Montgomery has research and teaching interests in industrial statistics including statistical quality control techniques, design of experiments, regression analysis and empirical model building, and the application of operations research methodology to problems in manufacturing systems. He has authored and coauthored many technical papers in these fields and is an author of twelve other books. Dr. Montgomery is a Fellow of the American Society for Quality, a Fellow of the American Statistical Association, a Fellow of the Royal Statistical Society, a Fellow of the Institute of Industrial Engineers, and an Elected member of the International Statistical Institute. He is a Stewart Medallist of the American Society for Quality, and has also received the Brumbaugh Award, the William G. Hunter Award, and the Shewell Award(twice) from the ASQ. He is a recipient of the Ellis R. Ott Award. He is a former editor of the Journal of Quality Technology, the current editor of Quality and Reliability Engineering International, and serves on the editorial boards of several journals.

Table of Contents

Chapter 1. Quality Improvement in the Modern Business Environment .

PART I: STATISTICAL METHODS USEFUL IN QUALITY CONTROL AND IMPROVEMENT.

Chapter 2. Modeling Process Quality.

Chapter 3. Statistics and Sampling Distributions.

PART II: BASIC METHODS OF STATISTICAL PROCESS CONTROL AND CAPABILITY ANALYSIS.

Chapter 4. Methods and Philosophy of Statistical Process Control.

Chapter 5. Control Charts for Variables.

Chapter 6. Control Charts for Attributes.

Chapter 7. Process and Measurement System Capability Analysis.

PART III: OTHER STATISTICAL PROCESS-MONITORING AND CONTROL TECHNIQUES.

Chapter 8. Cumulative Sum and Exponentially Weighted Moving Average  Control  Charts.

Chapter 9. Other Univariate Statistical Process Monitoring and Control Techniques.

Chapter 10. Multivariate Process Monitoring and Control.

Chapter 11. Engineering Process Control and SPC.

 PART IV: PROCESS DESIGN AND IMPROVEMENT WITH DESIGNED EXPERIMENTS.

Chapter 12. Factorial and Fractional Factorial Experiments for Process Design and Improvement.

Chapter 13. Process Optimization with Designed Experiments.

 PART V: ACCEPTANCE SAMPLING.

Chapter 14. Lot-by-Lot Acceptance Sampling for Attributes.

Chapter 15. Other Acceptance-Sampling Techniques.

 Appendices.

Answers to Selected Problems .

Index.

Editorial Reviews

Covers the use of statistical techniques for quality control, from basic principles to advanced applications, with a strong engineering and management orientation. Montgomery (industrial engineering, Arizona State U.) has designed the text for an undergraduate course in statistical quality control. A basic knowledge of statistical methods is recommended, but not required. The fourth edition includes recent developments in the field, new examples, and integrated and expanded coverage of computer software such as Minitab and Excel. Annotation c. Book News, Inc., Portland, OR (booknews.com)

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