This book covers how to design and analyze experiments for improving the quality, efficiency and performance of working systems. This edition includes software examples taken from the four most dominant programs in the field: Design-Expert, Minitab, JMP, and SAS.

In this practical introduction to DOE, guided by the capabilities of the common software packages, the author presents the basic types and methods of designed experiments appropriate for engineers, scientists, quality engineers.

This book provides a complete discussion of modern experimental design for product and process improvement—the design and analysis of experiments and their applications for system optimization, robustness, and treatment comparison.

Emphasizes the strategy of experimentation, data analysis, and the interpretation of experimental results. Features numerous examples using actual engineering and scientific studies. Presents statistics as an integral component of experimentation from the planning stage to the presentation of the conclusions.