Description: 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. Appendix. Index.

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