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Statistical Quality Control: A Modern Introduction, 6Th Ed: Industrial Engineering/Manufacturing

Statistical Quality Control: A Modern Introduction, 6Th Ed: Industrial Engineering/Manufacturing

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* This new edtion provides comprehensive treatment of the major aspects of using statistical methodology for quality control and improvement.
About the Author:

DOUGLAS C. MONTGOMERY, PhD, is Regents Professor of Industrial Engineering and Statistics at Arizona State University. Dr. Montgomery is a Fellow of the American Statistical Association, the American Society for Quality, the Royal Statistical Society, and the Institute of Industrial Engineers and has more than thirty years of academic and consulting experience. He has devoted his research to engineering statistics, specifically the design and analysis of experiments, statistical methods for process monitoring and optimization, and the analysis of time-oriented data. Dr. Montgomery is the coauthor of Generalized Linear Models: With Applications in Engineering and the Sciences, Second Edition and Introduction to Time Series Analysis and Forecasting, both published by Wiley.

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About the Book

Covering everything from basic principles to state-of-the-art concepts and applications, this book arms readers with a comprehensive understanding of modern statistical methods for quality control and improvement. The author covers basic and advanced methods of statistical process control (SPC), show how statistically designed experiments can be used for process design, development and improvement, and explore acceptance sampling. Throughout the pages, guidelines are provided for selecting the correct statistical technique to use in a variety of situations.

About the Author

Dr. 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. 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 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:
Part I: Introduction · Chapter 1: Quality Improvement in the Modern Business Environment · Chapter 2: The DMAIC Process Part II: Statistical Methods Useful in Quality Control and Improvement · Chapter 3: Modeling Process Quality · Chapter 4: Inferences about Process Quality Part III: Basic Methods of Statistical Process Control and Capability Analysis · Chapter 5: Methods and Philosophy of Statistical Process Control · Chapter 6: Control Charts for Variables · Chapter 7: Control Charts for Attributes · Chapter 8: Process and Measurement System Capability Analysis Part IV: Other Statistical Process-Monitoring and Control Techniques · Chapter 9: Cumulative Sum and Exponentially Weighted Moving Average Control Charts · Chapter 10: Other Univariate Statistical Process Monitoring and Control Techniques · Chapter 11: Multivariate Process Monitoring and Control · Chapter 12: Engineering Process Control and SPC Part V: Process Design and Improvement with Designed Experiments · Chapter 13: Factorial and Fractional Experiments for Process Design and Improvements · Chapter 14: Process Optimization and Designed Experiments Part VI: Acceptance Sampling · Chapter 15: Lot-by-Lot Acceptance Sampling for Attributes · Chapter 16: Other Acceptance Sampling Techniques Appendix


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Product Details
  • ISBN-13: 9788126525065
  • Publisher: Wiley India Pvt Ltd
  • Binding: Paperback
  • No of Pages: 756
  • ISBN-10: 8126525061
  • Publisher Date: 2010
  • Language: English
  • Sub Title: Industrial Engineering/Manufacturing

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