Introduction to statistical quality control/ Douglas C. Montgomery

Enhanced descriptions from Syndetics:

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.

Table of contents provided by Syndetics

• Chapter 1 Quality Improvement in the Modern Business Environment
• Part I Statistical Methods Useful in Quality Control and Improvement
• Chapter 2 Modeling Process Quality
• Chapter 3 Statistics and Sampling Distributions
• Part II 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 III 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 IV 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 V Acceptance Sampling
• Chapter 14 Lot-by-Lot Acceptance Sampling for Attributes
• Chapter 15 Other Acceptance-Sampling Techniques
• Appendices
• Answers to Selected Problems
• Index

Author notes provided by Syndetics