Statistical Quality Design and Control Contemporary Concepts and Methods

Name: Statistical Quality Design and Control Contemporary Concepts and Methods
Availability: InStock
ISBN: 9780130413444

ISBN-10: 0130413445

ISBN-13: 9780130413444

Edition: 2nd 2007 (Revised)

Authors: Richard DeVor, Tsong-How Chang, John Sutherland, Donald S. Ermer

List price: $226.65

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Description:

Features a blend of statistical process control (SPC) and design of experiments (DOE) concepts and methods for quality design and improvement. The book places particularly strong emphasis on proper methods for data collection, control chart construction and interpretation, and fault diagnosis for process improvement.

Book details

List price: $226.65
Edition: 2nd
Copyright year: 2007
Publisher: Pearson Education
Publication date: 7/25/2006
Binding: Paperback
Pages: 960
Size: 7.20" wide x 9.30" long x 1.40" tall
Weight: 3.564
Language: English




Fundamental Conepts and Methods



Evolution of Quality Design and Control



Conceptual Framework for Quality: Design and Control



Statistical Methods and Probability Concepts for Data Characterization



Sampling Distributions and Statistical Hypothesis Testing



Conceptual Framework for Statistical Process Control



Process Control and Improvement



Shewhart Control Charts for Variable Data



Importance of Rational Sampling



Interpretation of X and R Control Charts: Use of Sampling Experiments



Some Control Chart Methods for Individual Measurements



Process Capability Assessment



The Design and Analysis of Tolerances



Statistical Thinking for Process Study: A Case Study



Shewhart Control Charts for Attribute Data



Attribute Control Chart Implementation for Process Improvement: Two Case Studies



Product/Process Design and Improvement



Conceptual Framework for Planned Experimentation



Design and Analysis of Simple Comparative Experiments



Design and Interpretation of 2k Factorial Experiments



Analysis of Two-Level Factorial Designs



Model Building for Design and Improvement Using Two-Level Factorial Designs



Two-Level Fractional Factorial Designs



Sequential and Iterative Nature of Experimentation



Robust Design Case Studies



Modeling of Response Surfaces and Response Optimization


References and Further Readings


Appendix Tables