Devor, Richard T. : University of Illinois, Urbana
Chang, Tsong-how :
Summary
In presenting the material, the book makes rich use of detailed actual case studies to illustrate the concepts
and methods at work. Emphasis is placed on both the philosophical/conceptual underpinnings and the techniques and
methods of SPC and DOE. The concepts and methods of Taguchi for quality design are combined with more traditional
experimental design methods to promote the importance of viewing quality from an engineering design perspective.
Features a blend of statistical process control (SPC) and design of experiments (DOE) concepts and methods for
quality design and improvement.
Places particularly strong emphasis on proper methods for data collection, control chart construction and interpretation,
and fault diagnosis for process improvement.
Provides careful explanations, using actual cases, of the relationship between quality intent through engineering
design and its realization through manufacture.
Computer workshops and the associated software provided with the book allow readers to simulate processes and apply
the methods presented to solve problems.
Table of Contents
I. FUNDAMENTAL CONCEPTS AND METHODS.
1. The Evolution of Quality Design and Control.
2. Conceptual Framework for Quality: Design and Control.
3. Statistical Methods and Probability Concepts for Data Characterization.
II. PROCESS CONTROL AND IMPROVEMENT.
4. Conceptual Framework for Statistical Process Control.
5. Statistical Basis for Shewhart Control Charts for Variable Data.
6. Construction and Interpretation of Shewhart Control Charts for Variable Data.
7. Importance of Rational Sampling.
8. Interpretation of x and R Control Charts: Use of Sampling Experiments.
9. Process Capability Assessment.
10. Statistical Thinking for Process Study: A Case Study.
11. Some Control Chart Methods for Individual Measurements.
12. Cumulative-Sum Control Charts.
13. Shewhart Control Charts for Attribute Data.
14. Attribute Control Chart Implementation for Process Improvement: Two Case Studies.
III. PRODUCT/PROCESS DESIGN AND IMPROVEMENT.
15. A Conceptual Framework for Planned Experimentation.
16. Design and Interpretation of 2k 119-'u/2u'_ 119'u-44u/2u' Factorial Experiments.
17. Analysis of Two-Level Factorial Designs.
18. Model Building for Design and Improvement Using Two-Level Factorial Designs.
19. Two-Level Fractional Factorial Designs.
20. Sequential and Iterative Nature of Experimentation.
21. Some Additional Concepts and Methods for Designed Experimentation.
22. Robust Product and Process Design.
