Introduction to Statistical Quality Control, Fifth Edition

  • 17h 3m
  • Douglas C. Montgomery
  • John Wiley & Sons (US)
  • 2005

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.

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 contemporary practice and provides more information on management aspects of quality improvement.
  • Emphasizes statistical techniques in the context of a strong engineering and management orientation.

About the Author

Douglas C. Montgomery is the Arizona State University Foundation Professor of Engineering and Professor of Statistics. He 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 was Director of the Program in Industrial Engineering.

Dr. Montgomery has research and teaching interests in engineering 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 more than 160 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 Shewhart Medalist of the American Society for Quality, and he has also received the Brumbaugh Award, the William G. Hunter Award, and the Shewell Award from the ASQ. He is a recipient of the Ellis R. Ott Award. He is a former editor of the Journal of Quality Technology, is one of the current chief editors of Quality and Reliability Engineering International, and serves on the editorial boards of several journals.

In this Book

  • Quality Improvement in the Modern Business Environment
  • Modeling Process Quality
  • Inferences about Process Quality
  • Methods and Philosophy of Statistical Process Control
  • Control Charts for Variables
  • Control Charts for Attributes
  • Process and Measurement System Capability Analysis
  • Cumulative Sum and Exponentially Weighted Moving Average Control Charts
  • Other Univariate Statistical Process-Monitoring and Control Techniques
  • Multivariate Process Monitoring and Control
  • Engineering Process Control and SPC
  • Factorial and Fractional Factorial Experiments for Process Design and Improvement
  • Process Optimization with Designed Experiments
  • Lot-by-Lot Acceptance Sampling for Attributes
  • Other Acceptance-Sampling Techniques