
- 768 pages
- English
- PDF
- Available on iOS & Android
About this book
The Seventh Edition of Statistical Quality Control provides a comprehensive treatment of the major aspects of using statistical methodology for quality control and improvement. Both traditional and modern methods are presented, including state-of-the-art techniques for statistical process monitoring and control and statistically designed experiments for process characterization, optimization, and process robustness studies. The seventh edition continues to focus on DMAIC (define, measure, analyze, improve, and control--the problem-solving strategy of six sigma) including a chapter on the implementation process. Additionally, the text includes new examples, exercises, problems, and techniques. Statistical Quality Control is best suited for students in engineering, statistics, business and management science or students in undergraduate courses.
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Information
Table of contents
- Cover
- Title Page
- Copyright
- About the Author
- Preface
- Contents
- PART 1 Introduction
- PART 2 Statistical Methods Useful in Quality Control and Improvement
- PART 3 Basic Methods of Statistical Process Control and Capability Analysis
- PART 4 Other Statistical Process-Monitoring and Control Techniques
- PART 5 Process Design and Improvement with Designed Experiments
- PART 6 Acceptance Sampling
- Appendix
- Bibliography
- Answers to Selected Exercises
- Index