Introduction to Statistical Quality Control, 5th Edition

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.

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