This clear, well-organized handbook demonstrates the application of advanced statistical and experimental methods to industrial and manufacturing processes. It presents specific reasons for experimentation, and lays a foundation for effective planning and execution of experiments. Throughout, concepts are developed in the context of examples from industry, and the use of software is made readily accessible to promote a better understanding through graphical and statistical analysis.

From the Preface: “...Statistical principles are illustrated with authentic manufacturing process examples from the semiconductor industry, a practice that enables experienced engineers to build upon existing knowledge to learn new skills, and which introduces students to a fascinating industry...This text emphasizes the application of statistical tools, rather than statistical theory. Modern advances in statistical software have made tedious computations and formula memorization unnecessary, so engineers with knowledge of a few statistical tools can competently practice statistics within the context of their profession...”

Target Audience: Indispensible for process, design, mechanical, and quality engineers working in the process industries; also a valuable resource for upper-level students in industrial engineering.

Table of Contents:

Introduction to Experiment Design

Comparative Experiments

Blocking

Factorial Experiments

Screening Experiments

Optimization Methods

Appendix: The Statistical Analysis System (SAS)

Index