Statistical Quality Design and Control
Contemporary Concepts and Methods
2nd Edition
Published on 13. October 2006
Book
Paperback/Softback
960 pages
978-0-13-041344-4 (ISBN)
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.
More details
Other editions
Previous edition
Richard E. DeVor | etc.
Statistical Methods for Quality Design and Control
Book
01/1992
Macmillan USA
€83.13
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Content
PART I: FUNDAMENTAL CONEPTS AND METHODS
Chapter 1 Evolution of Quality Design and Control
Chapter 2 Conceptual Framework for Quality: Design and Control
Chapter 3 Statistical Methods and Probability Concepts
for Data Characterization
Chapter 4 Sampling Distributions and Statistical Hypothesis Testing
Chapter 5 Conceptual Framework for Statistical Process Control
PART II: PROCESS CONTROL AND IMPROVEMENT
Chapter 6 Shewhart Control Charts for Variable Data
Chapter 7 Importance of Rational Sampling
Chapter 8 Interpretation of X and R Control Charts:
Use of Sampling Experiments
Chapter 9 Some Control Chart Methods for Individual Measurements
Chapter 10 Process Capability Assessment
Chapter 11 The Design and Analysis of Tolerances
Chapter 12 Statistical Thinking for Process Study: A Case Study
Chapter 13 Shewhart Control Charts for Attribute Data
Chapter 14 Attribute Control Chart Implementation
for Process Improvement: Two Case Studies
PART III: PRODUCT/PROCESS DESIGN AND IMPROVEMENT
Chapter 15 Conceptual Framework for Planned Experimentation
Chapter 16 Design and Analysis of Simple Comparative Experiments
Chapter 17 Design and Interpretation of 2k Factorial Experiments
Chapter 18 Analysis of Two-Level Factorial Designs
Chapter 19 Model Building for Design and Improvement
Using Two-Level Factorial Designs
Chapter 20 Two-Level Fractional Factorial Designs
Chapter 21 Sequential and Iterative Nature of Experimentation
Chapter 22 Robust Design Case Studies
Chapter 23 Modeling of Response Surfaces and Response Optimization
References and Further Readings
Appendix Tables
Chapter 1 Evolution of Quality Design and Control
Chapter 2 Conceptual Framework for Quality: Design and Control
Chapter 3 Statistical Methods and Probability Concepts
for Data Characterization
Chapter 4 Sampling Distributions and Statistical Hypothesis Testing
Chapter 5 Conceptual Framework for Statistical Process Control
PART II: PROCESS CONTROL AND IMPROVEMENT
Chapter 6 Shewhart Control Charts for Variable Data
Chapter 7 Importance of Rational Sampling
Chapter 8 Interpretation of X and R Control Charts:
Use of Sampling Experiments
Chapter 9 Some Control Chart Methods for Individual Measurements
Chapter 10 Process Capability Assessment
Chapter 11 The Design and Analysis of Tolerances
Chapter 12 Statistical Thinking for Process Study: A Case Study
Chapter 13 Shewhart Control Charts for Attribute Data
Chapter 14 Attribute Control Chart Implementation
for Process Improvement: Two Case Studies
PART III: PRODUCT/PROCESS DESIGN AND IMPROVEMENT
Chapter 15 Conceptual Framework for Planned Experimentation
Chapter 16 Design and Analysis of Simple Comparative Experiments
Chapter 17 Design and Interpretation of 2k Factorial Experiments
Chapter 18 Analysis of Two-Level Factorial Designs
Chapter 19 Model Building for Design and Improvement
Using Two-Level Factorial Designs
Chapter 20 Two-Level Fractional Factorial Designs
Chapter 21 Sequential and Iterative Nature of Experimentation
Chapter 22 Robust Design Case Studies
Chapter 23 Modeling of Response Surfaces and Response Optimization
References and Further Readings
Appendix Tables