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.
Table of Contents
Part I. Statistical Methods Useful in Quality Control and Improvement
1. Quality Improvement in the Modern Business Environment
2. Modeling Process Quality
3. Statistics and Sampling Distributions
Part II. Basic Methods of Statistical Process Control and Capability Analysis
4. Methods and Philosophy of Statistical Process Control
5. Control Charts for Variables
6. Control Charts for Attributes
7. Process and Measurement System Capability Analysis
Part III. Other Statistical Process Monitoring and Control Techniques
8. Cumulative Sum and Exponentially Weighted Moving Average Control Charts
9. Other Univariate Statistical Process Monitoring and Control Techniques
10. Multivariate Process Monitoring and Control
11. Engineering Process Control and SPC
Part IV. Process Design and Improvement with Designed Experiments
12. Factorial and Fractional Factorial Experiments for Process Design and Improvement
13. Process Optimization with Designed Experiments
