Statistical Methods for Quality Improvement
Praise for the Second Edition
"As a comprehensive statistics reference book for quality improvement, it certainly is one of the best books available."
This new edition continues to provide the most current, proven statistical methods for quality control and quality improvement
The use of quantitative methods offers numerous benefits in the fields of industry and business, both through identifying existing trouble spots and alerting management and technical personnel to potential problems. Statistical Methods for Quality Improvement, Third Edition guides readers through a broad range of tools and techniques that make it possible to quickly identify and resolve both current and potential trouble spots within almost any manufacturing or nonmanufacturing process. The book provides detailed coverage of the application of control charts, while also exploring critical topics such as regression, design of experiments, and Taguchi methods.
In this new edition, the author continues to explain how to combine the many statistical methods explored in the book in order to optimize quality control and improvement. The book has been thoroughly revised and updated to reflect the latest research and practices in statistical methods and quality control, and new features include:
Incorporating the latest software applications, the author has added coverage on how to use Minitab software to obtain probability limits for attribute charts. new exercises have been added throughout the book, allowing readers to put the latest statistical methods into practice. Updated references are also provided, shedding light on the current literature and providing resources for further study of the topic.
Statistical Methods for Quality Improvement, Third Edition is an excellent book for courses on quality control and design of experiments at the upper-undergraduate and graduate levels. the book also serves as a valuable reference for practicing statisticians, engineers, and physical scientists interested in statistical quality improvement.
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Miscellaneous Control Chart Topics
Design of Experiments
Contributions of Genichi Taguchi
Control Charts for Attributes
Alternatives to Shewhart Charts
Multivariate Control Charts
BOLLEN Structural Equations with Latent Variables
Analysis of Means
Using Combinations of Quality
Answers to Selected Exercises