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.

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