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Statistical Quality Design and Control Contemporary Concepts and Methods

ISBN-10: 0130413445
ISBN-13: 9780130413444
Edition: 2nd 2007 (Revised)
List price: $197.80
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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  More...

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Book details

List price: $197.80
Edition: 2nd
Copyright year: 2007
Publisher: Prentice Hall PTR
Publication date: 7/25/2006
Binding: Paperback
Pages: 960
Size: 6.90" wide x 9.20" long x 2.00" tall
Weight: 5.104
Language: English

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.

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

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