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This book explores the modern use of statistical methods in quality control and improvement. It provides comprehensive coverage of the subject from basic principles to state–of–the–art concepts and applications. While statistical techniques are emphasized throughout, the book has a strong engineering and management orientation, showing how modern engineers use quality control today. --This text refers to an out of print or unavailable edition of this title.
From the Back Cover
Expert guidance on modern SQC methods, from the name you trust!
See all Product Description
This book explores the modern use of statistical methods in quality control and improvement. It provides comprehensive coverage of the subject from basic principles to state–of–the–art concepts and applications. While statistical techniques are emphasized throughout, the book has a strong engineering and management orientation, showing how modern engineers use quality control today. --This text refers to an out of print or unavailable edition of this title.
From the Back Cover
Expert guidance on modern SQC methods, from the name you trust!
Douglas Montgomery′s modern iintroduction to SQC prepares you for professional practice with comprehensive coverage of current statistical methods for quality control and improvement. With this text, you′ll learn how to apply state–of–the–art techniques for statistical process monitoring and control, design experiments for process characterization and optimization, conduct process robustness studies, and implement quality management techniques such as the six–sigma approach.
Fullu updated and revised, this Fifth Edition features more fully integrated coverage of Minitab, new homework problems, new and more modern examples, and more.
Introduction to Statistical Quality Control, Fifth Edition:
- Provides guidelines throughout the book for selecting the proper type of statistical technique to use in a wide variety of product and non–product situations.
- Presents comprehensive coverage—ranging from basic principles to state–of–the–art applications.
- Provides clear and relevant examples, including new examples that illustrate applications of statistical quality improvement techniques in non–manufacturing settings. many examples and exercises are based on real data.
- Reflects contempory practice and provides more information on management aspects of quality improvement.
- Emphasizes statistical techniques in the context of a strong engineering and management orientation.
- Includes electronic versions of all data sets in the text, supplemental text material, and all instructor resources on the Montgomery SQC website www.wiley.com/college/montgomery.
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