Statistical Robust Design (PDF)

A UNIQUELY PRACTICAL APPROACH TO ROBUST DESIGN FROM A
STATISTICAL AND ENGINEERING PERSPECTIVE

Variation in environment, usage conditions, and the
manufacturing process has long presented a challenge in product
engineering, and reducing variation is universally recognized as a
key to improving reliability and productivity. One key and
cost-effective way to achieve this is by robust design -
making the product as insensitive as possible to variation.

With Design for Six Sigma training programs primarily in mind,
the author of this book offers practical examples that will help to
guide product engineers through every stage of experimental design:
formulating problems, planning experiments, and analysing data. He
discusses both physical and virtual techniques, and includes
numerous exercises and solutions that make the book an ideal
resource for teaching or self-study.

* Presents a practical approach to robust design through
design of experiments.

* Offers a balance between statistical and industrial
aspects of robust design.

* Includes practical exercises, making the book useful for
teaching.

* Covers both physical and virtual approaches to robust
design.

* Supported by an accompanying website (href="http://www.wiley/com/go/robust">www.wiley/com/go/robust)
featuring MATLAB® scripts and solutions to exercises.

* Written by an experienced industrial design
practitioner.

This book's state of the art perspective will be of
benefit to practitioners of robust design in industry, consultants
providing training in Design for Six Sigma, and quality engineers.
It will also be a valuable resource for specialized university
courses in statistics or quality engineering.