Introduction to Statistical Quality Control

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9780471661221: Introduction to Statistical Quality Control
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About the Author Preface Chapter 1 : Quality Improvement in the Modern Business Environment Part 1 : Statistical Methods Useful in Quality Control and Improvement Chapter 2 : Modeling Process Quality Chapter 3 : Inferences about Process Quality Part 2 : 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 3 : 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 4 : 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 5 : Acceptance Sampling Chapter 14 : Lot-by-Lot Acceptance Sampling for Attributes Chapter 15 : Other Acceptance-Sampling Techniques Appendix A : Summary of Common Probability Distributions Often Used in Statistical Quality Control B : Cumulative Standard Normal Distribution C : Percentage Points of the X2 Distribution D : Percentage Points of the t Distribution E : Percentage Points of the F Distribution F : Factors for Constructing Variables Control Charts G : Factors for Two-Sided Normal Tolerance H : Factors for One-Sided Normal Tolerance Bibliography Answers to Selected Exercises Index

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From the Back Cover:

Expert guidance  on modern SQC methods, from the name you trust!

Douglas Montgomery's modern iintroduction 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.

Fullu updated and revised, this Fifth Edition features more fully integrated coverage of Minitab, new homework problems, new and more modern examples, and more.

Introduction to Statistical Quality Control, Fifth Edition:

  • Provides guidelines throughout  the book for selecting the proper type of statistical technique to use in a wide variety of product and non-product situations.
  • Presents comprehensive coverage—ranging from basic principles to state-of-the-art applications.
  • Provides clear and relevant examples, including new examples that illustrate applications of statistical quality improvement techniques in non-manufacturing settings. many examples and exercises are based on real data.
  • Reflects contempory practice and provides more information on management aspects of quality improvement.
  • Emphasizes statistical techniques in the context of a strong engineering and management orientation.
  • Includes electronic versions of all data sets in the text, supplemental text material, and all instructor resources on the Montgomery SQC website www.wiley.com/college/montgomery.

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.

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