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 non-product situations. While statistical techniques are emphasized throughout, the book has a strong engineering and management orientation

About The Author
Douglas C. Montgomery
 Professor of Industrial Engineering 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 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 many technical papers in these fields and is an author of eleven other books. Dr. Montgomery is a Fellow of the American society for Quality control, a Fellow of the American Statistical Association, a Fellow of the royal statistical society, and a Fellow of the Institute of Industrial Engineers. He is a Stewart Medalist of the American society for Quality Control, and has also received the Brumbaugh Award, the William G. Hunter Award, and the Shewell Award from the ASQC. 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

  • Staistical Methods Useful In Quality Improvement
  • Modeling Process Quality
  • Inferences About Process Quality
  • Basic Methods of Statistical Process Control and Capability Analysis
  • Methods and Philosophy of Statistical Process Control
  • Control Charts for Variables
  • Control Charts for Attributes
  • Process and Measurement Systems System Capability Analysis
  • Other Statistical Process Monitoring and Control Techniques
  • Cumulative Sum and Exponentially Weighted Moving Average Control Charts
  • Other Univariate SPC Techniques
  • Multivariate Process Monitoring and Control
  • Engineering Process Control and SPC
  • Process Design and Improvement With Designed Experiments
  • Factorial and Fractional Factorial Designs for Process Design and Improvement
  • Process Optimization with Designed Experiments
  • Acceptance Sampling
  • Lot-by-Lot Acceptance Sampling for Attributes
  • Other Acceptance Sampling Techniques
  • Appendix
  • Bibliography
  • Answers to Selected Exercises
  • Index
Book Full NameIntroduction to statistical Quality Control
Author Name D C Montgomery
PublisherJohn Wiley and Sons
Edition4th Edition

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Introduction to statistical Quality Control D C Montgomery John Wiley and Sons 4th edition

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Tags: introduction, statistical, quality, control, montgomery, john, wiley, and, sons, 4th, edition, assurance, reliability, (b)