Quality is an increasingly important component of competitive advantage for the modern corporation. Measuring quality and performance is a key step in achieving better quality. Although many statistical methods are available for determining quality, there remains no guide to easy learning and implementation. This book fills that gap, providing stepwise procedures and rules of thumb in an applied presentation and accompanying each concept with an example to illustrate the method. The authors examine the entire product lifecycle and the tools and techniques necessary to measure quality at each stage, explaining such topics as optimization, Taguchi's method, variability reduction, and graphical applications based on statistical techniques.

In today's high-technology world, with flourishing e-business and intense competition at a global level, the search for the competitive advantage has become a crucial task of corporate executives. Quality, formerly considered a secondary expense, is now universally recognized as a necessary tool. Although many statistical methods are available for determining quality, there has been no guide to easy learning and implementation until now. Filling that gap, Statistical Design of Experiments with Engineering Applications, provides a ready made, quick and easy-to-learn approach for applying design of experiments techniques to problems. The book uses quality as the main theme to explain various design of experiments concepts. The authors examine the entire product lifecycle and the tools and techniques necessary to measure quality at each stage. They explain topics such as optimization, Taguchi's method, variance reduction, and graphical applications based on statistical techniques.