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Statistical Robust Design. An Industrial Perspective

RUR 8708.73

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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


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

It will also be a valuable resource for specialized university courses in statistics or quality engineering.

One key and cost-effective way to achieve this is by robust design making the product as insensitive as possible to variation

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

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

Covers both physical and virtual approaches to robust design

Includes practical exercises, making the book useful for teaching

Offers a balance between statistical and industrial aspects of robust design

Presents a practical approach to robust design through design of experiments

Supported by an accompanying website www.wiley/com/go/robust featuring MATLAB scripts and solutions to exercises

Written by an experienced industrial design practitioner