Competitive Innovation and Improvement: Statistical Design and Control explains how to combine two widely known statistical methods—statistical design and statistical control—in a manner that can solve any business, government, or research problem quickly with sustained results. Because the problem-solving strategy employed is pure scientific method, it makes integration into any existing problem-solving or research method quite simple.

The material in the book is presented in a manner that anyone can read and immediately put to use, including executives, managers, statisticians, scientists, engineers, researchers, and all of their supervisors and employees. Organizations can apply the concepts discussed with existing staff to release latent energy rather than adding to their workload. Optional footnotes provide the opportunity for more advanced technical insight.

Supplying readers with an understanding of orthogonal design, the book illustrates key ideas through large-scale case studies. The book’s 12 case studies examine the coupling of statistical design with economic control across a range of industries and problem types.

The book suggests the real world, rather than mathematics alone, to reveal how things work and how to make them work better. Innovation and improvement by design is explained, which will help readers open up left-brain analytics to more right-brain creativity.

Although mathematics (as advanced as needed to solve the problem) is used throughout the text, it is translated into simple arithmetic without any mathematical notation. The book limits references to a few essential texts and papers that readers can refer to as they become more experienced in statistical design and control.