Montgomery, Douglas C. Statistical Quality Control A Modern Introduction. International Student Version
6. Edition - September 2008 57.90 Euro 2008. 760 Pages, Softcover - Textbook - ISBN-10: 0-470-23397-4 ISBN-13: 978-0-470-23397-9 - John Wiley & Sons
Short description Covering everything from basic principles to state-of-the-art concepts and applications, this book arms readers with a comprehensive understanding of modern statistical methods for quality control and improvement. The authors cover basic and advanced methods of statistical process control (SPC), show how statistically designed experiments can be used for process design, development and improvement, and explore acceptance sampling. Throughout the pages, guidelines are provided for selecting the correct statistical technique to use in a variety of situations.
From the contents Part I: Introduction
Chapter 1: Quality Improvement in the Modern Business Environment
Chapter 2: The DMAIC Process
Part II: Statistical Methods Useful in Quality Control and Improvement
Chapter 3: Modeling Process Quality
Chapter 4: Inferences about Process Quality
Part III: Basic Methods of Statistical Process Control and Capability Analysis
Chapter 5: Methods and Philosophy of Statistical Process Control
Chapter 6: Control Charts for Variables
Chapter 7: Control Charts for Attributes
Chapter 8: Process and Measurement System Capability Analysis
Part IV: Other Statistical Process-Monitoring and Control Techniques
Chapter 9: Cumulative Sum and Exponentially Weighted Moving Average Control Charts
Chapter 10: Other Univariate Statistical Process Monitoring and Control Techniques
Chapter 11: Multivariate Process Monitoring and Control
Chapter 12: Engineering Process Control and SPC
Part V: Process Design and Improvement with Designed Experiments
Chapter 13: Factorial and Fractional Experiments for Process Design and Improvements
Chapter 14: Process Optimization and Designed Experiments
Part VI: Acceptance Sampling
Chapter 15: Lot-by-Lot Acceptance Sampling for Attributes
