Many texts on the design of experiments (DOE) focus primarily on statistical analysis and the mathematical calculations required for the analysis. However, the application of these techniques in small and medium-sized manufacturing companies is limited due to a lack of statistical knowledge required for their use. This brief book takes a unique approach to the topic, delivering everything you would expect from the use of statistical methods, while using familiar graphical tools, rather than abstract mathematical models. Real life industrial case studies illustrate the various methods discussed. Recommended.

From the Preface: “...This book is targeted for people who have either been intimidated by their attempts to learn about DOE or never appreciated the true potential of DOE for achieving breakthrough improvements in product quality and process efficiency....The readers of this book will develop a sound understanding of the theory of DOE and practical aspects of how to design, analyse and interpret the results of a designed experiment. Throughout this book, the emphasis is on the simple but powerful graphical tools for data analysis and interpretation...”

Target Audience: Engineers and research scientists from all disciplines who are concerned with manufacturing, process control, and quality assurance; also ideal for student use.

Table of Contents:

Introduction to Industrial Experimentation

Fundamentals of Design of Experiments

Understanding Key Interactions in Processes

A Systematic Methodology for Design of Experiments

Screening Designs

Full Factorial Designs

Fractional Factorial Designs

Some Useful and Practical Tips for Making Your Industrial Experiments Successful

Case Studies

Index