The sixth edition of Introduction to 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 sixth edition has been updated to place more focus on DMAIC (define, measure, analyze, improve, and control--the problem-solving strategy of six sigma)…mehr
The sixth edition of Introduction to 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 sixth edition has been updated to place more focus on DMAIC (define, measure, analyze, improve, and control--the problem-solving strategy of six sigma) including a new chapter on the implementation process. Additionally, the text includes new examples, exercises, problems, and techniques. SQC is best suited for upper-division students in engineering, statistics, business and management science or students in graduate courses.
