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
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