Description
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.
Table of Contents Part I: Introduction
Chapter 1: Modern Quality Management and Improvement
Chapter 2: The DMAIC Process Solving Process
Part II: Statistical Methods Useful in Quality Control and Improvement
Chapter 3: Statistical Models or Quality Control and Improvement
Chapter 4: Statistical Inferences in Quality Control and Improvement
Part III: Basic Methods of Statistical Process Control and Capability Analysis
Chapter 5: How SPC Works
Chapter 6: Variables Control Charts
Chapter 7: Attributes Control Charts
Chapter 8: Determining Process and Measurement System Capability
Part IV: Other Statistical Process-Monitoring and Control Techniques
Chapter 9: Time-Weighted Control Charts
Chapter 10: Advanced Control Charting Techniques
Chapter 11: Multivariate SPC
Chapter 12: Process Adjustment and Process Monitoring
Part V: Process Design and Improvement with Designed Experiments
Chapter 13: Basic Experimental Design for Process Improvement
Chapter 14: Process Optimization
Douglas C. Montgomery is Regents’ Professor of Engineering and Statistics at Arizona State University. He received his B.S., M.S., and Ph.D. degrees from Virginia Polytechnic Institute, all in engineering. The author and coauthor of many technical papers and twelve other books. Dr. Montgomery is a Fellow of the American Society for Quality, the American Statistical Association, the Royal Statistical Society, the Institute of Industrial Engineers, an Elected Member of the International Statistical Institute and an Academician of the International Academy for Quality.