From Book News, Inc.
A new edition of the undergraduate engineering text emphasizing statistical methods for quality control. Montgomery (industrial and management systems engineering, Arizona State U.) introduces the basic concepts of quality improvement and total quality management (TQM), the statistical methods employed to that end including sampling and probability, statistical process control tools, and how statistically designed experiments can be used for process design, development, and improvement. The concluding discussions concentrate on acceptance sampling and its variations. Includes illustrations, tables, and problems. The nine appendices supply distribution tables, and factors for constructing variables control charts and one and two-sided normal tolerance limits. Annotation c. by Book News, Inc., Portland, Or.
Book Description
This book is about the use of modern statistical methods for quality control and improvement. It provides comprehensive coverage of the subject from basic principles to state-of-art concepts and applications. The objective is to give the reader a sound understanding of the principles and the basis for applying them in a variety of both product and nonproduct situations. While statistical techniques are emphasized throughout, the book has a strong engineering and management orientation. Guidelines are given throughout the book for selecting the proper type of statistical technique to use in a wide variety of product and nonproduct situations. By presenting theory, and supporting the theory with clear and relevant examples, Montgomery helps the reader to understand the big picture of important concepts. Updated to reflect contemporary practice and provide more information on management aspects of quality improvement.
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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