1. Introduction to Quality Improvement. 2. Statistical Methods for Data Analysis. 3. Design of Regression Experiments. 4. Taguchi's Approach to Quality Improvement. 5. Quality Improvement Through Reduction of the Errors Transmitted from the Factors to The Response. 6. Optimization Procedures for Robust Design of Products and Processes with Errors in the Factors. 7. Robustness Against Both Errors in Product Parameters and External Noise Factors. 8. Quality Improvement Through Mechanistic Models. 9. Quality Improvement of Products Depending on Both Qualitative and Quantitative Factors. 10. Other Methods for Model Based Quality Improvement. Bibliography. Subject Index. Author Index.
Springer Book Archives