Introduction to Statistical Quality Control

ISBN-10: 0471656313

ISBN-13: 9780471656319

Edition: 5th 2005 (Revised)

List price: $172.95
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Description:

This book is about the use of modern statistical methods for quality control and improvement. It provides comprehensive coverage of the subject from basic principles to state-of-art concepts and applications. The objective is to give the reader a sound understanding of the principles and the basis for applying them in a variety of both product and nonproduct situations. While statistical techniques are emphasized throughout, the book has a strong engineering and management orientation. Guidelines are given throughout the book for selecting the proper type of statistical technique to use in a wide variety of product and nonproduct situations. By presenting theory, and supporting the theory with clear and relevant examples, Montgomery helps the reader to understand the big picture of important concepts. Updated to reflect contemporary practice and provide more information on management aspects of quality improvement.
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Book details

List price: $172.95
Edition: 5th
Copyright year: 2005
Publisher: John Wiley & Sons, Incorporated
Publication date: 8/10/2004
Binding: Hardcover
Pages: 776
Size: 8.25" wide x 10.25" long x 1.50" tall
Weight: 3.432
Language: English

Quality Improvement in the Modern Business Environment
Statistical Methods Useful in Quality Control and Improvement
Modeling Process Quality
Statistics and Sampling Distributions
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 Factorial Experiments for Process Design and Improvement
Process Optimization with Designed Experiments
Acceptance Sampling
Lot-by-Lot Acceptance Sampling for Attributes
Other Acceptance-Sampling Techniques
Appendices
Answers to Selected Problems
Index
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