Statistical Robust Design: An Industrial Perspective
by Magnus Arner /
2014 / English / PDF
12.7 MB Download
A UNIQUELY PRACTICAL APPROACH TO ROBUST DESIGN FROM ASTATISTICAL AND ENGINEERING PERSPECTIVE Variation in environment, usage conditions, and themanufacturing process has long presented a challenge in productengineering, and reducing variation is universally recognized as akey to improving reliability and productivity. One key andcost–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 toguide product engineers through every stage of experimental design:formulating problems, planning experiments, and analysing data. Hediscusses both physical and virtual techniques, and includesnumerous exercises and solutions that make the book an idealresource for teaching or self–study. Presents a practical approach to robust design throughdesign of experiments. Offers a balance between statistical and industrialaspects of robust design. Includes practical exercises, making the book useful forteaching. Covers both physical and virtual approaches to robustdesign. Supported by an accompanying website ( )featuring MATLAB® scripts and solutions to exercises. Written by an experienced industrial designpractitioner. This book s state of the art perspective will be ofbenefit to practitioners of robust design in industry, consultantsproviding training in Design for Six Sigma, and quality engineers.It will also be a valuable resource for specialized universitycourses in statistics or quality engineering.
