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Introduction to Statistical Quality Control

ISBN-10: 0470169923
ISBN-13: 9780470169926
Edition: 6th 2009
List price: $212.95
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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  More...

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Book details

List price: $212.95
Edition: 6th
Copyright year: 2009
Publisher: John Wiley & Sons, Incorporated
Publication date: 5/2/2008
Binding: Hardcover
Pages: 752
Size: 8.25" wide x 10.25" long x 1.25" tall
Weight: 3.080
Language: English

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.

Introduction
Quality Improvement in the Modern Business Environment
The DMAIC Process
Statistical Methods Useful in Quality Control and Improvement
Modeling Process Quality
Inferences about Process Quality
Basic Methods of Statistical Process Control and Capability Analysis
Methods and Philosophy of Statistical Process Control
Control Charts for Variables
Control Charts for Attributes
Process and Measurement System Capability Analysis
Other Statistical Process-Monitoring and Control Techniques
Cumulative Sum and Exponentially Weighted Moving Average Control Charts
Other Univariate Statistical Process Monitoring and Control Techniques
Multivariate Process Monitoring and Control
Engineering Process Control and SPC
Process Design and Improvement with Designed Experiments
Factorial and Fractional Experiments for Process Design and Improvements
Process Optimization and Designed Experiments
Acceptance Sampling
Lot-by-Lot Acceptance Sampling for Attributes
Other Acceptance Sampling Techniques
Appendix

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