This book is written for managers, engineers, scientists and technicians, with an intent to bridge the gap between texts that are too mathematical and those that attain simplicity by omitting important concepts. Mathematical and statistical theory are not emphasized; rather, the presentation is intended to provide conceptual understanding of designed experiments and related topics in statistical quality control. It"s goal is to enhance the art of statistical thinking. The book is arranged to build a foundation for understanding experimental design including: an introduction to design and analysis; a discussion of design types; a review of basic statistical concepts and techniques; an analysis of experimental data, variance reduction, and robust designs; a presentation of Taguchi philosophy and analysis techniques; an introduction to optimization and response surface methods; and numerous case studies from industry.