Bryan Dodson & Patrick Hammett 
Probabilistic Design for Optimization and Robustness for Engineers 

Probabilistic Design for Optimization and Robustness:

* Presents the theory of modeling with variation using physical models and methods for practical applications on designs more insensitive to variation.

* Provides a comprehensive guide to optimization and robustness for probabilistic design.

* Features examples, case studies and exercises throughout.

The methods presented can be applied to a wide range of disciplines such as mechanics, electrics, chemistry, aerospace, industry and engineering. This text is supported by an accompanying website featuring videos, interactive animations to aid the readers understanding.

A propos de l’auteur

BRYAN DODSON, Executive Engineer, SKF, USA

PATRICK C. HAMMETT, Lead Faculty Six Sigma Program, Integrative Systems & Design, College of Engineering, University of Michigan, Ann Arbor, USA

RENÉ KLERX, Principal Statistician, SKF, The Netherlands