Probabilistic Design for Optimization and Robustness for Engineers - Couverture rigide

Dodson, Bryan; Hammett, Patrick; Klerx, Rene

Couverture rigide

ISBN 10 : 1118796195 ISBN 13 : 9781118796191

Editeur : John Wiley & Sons Inc, 2014

A propos du livre

Quatrième de couverture :

How to apply robust design to engineering designproblems Unlike the Taguchi approach to robustness, which requiresexperimentation, the approach described in this book takesadvantage of engineering knowledge to create models for systemvariation. Probabilistic Design for Optimization and Robustnessfor Engineers illustrates how to use these variation models tooptimize total system cost, including component cost, manufacturingcost, re–work cost, and scrap cost. The text begins with simple,single output systems, and proceeds to complex systems withmultiple outputs and many inputs. This methodology works equallywell for engineering designs, or process design, or processimprovement. This book: Provides a comprehensive guide to optimization and robustnessfor probabilistic design for engineers without a statistical background Features examples, case studies, and exercises that areapplicable to a wide range of disciplines such as mechanical,electrical, chemical, aerospace, and industrial engineering Describes how to derive an empirical model when the engineeringmodel is Describes how to derive an empirical model when the engineeringmodel is unknown Provides a robustness roadmap when using engineering modelingsoftware, such as finite element analysis Demonstrates the effective application of numerous tools andmethods to develop robust designs including Total DesirabilityIndex and Binary Logistic Regression for Customer LossFunctions Is supported by an accompanying website (www.wiley.com/go/robustness—for—engineers)featuring interactive animations and templates that can becustomized for design problems encountered in practice Probabilistic Design for Optimization and Robustness forEngineers is useful for practising engineers faced with thechallenge of variation in design as well as senior and graduatelevel engineering and statistics students studying systemsengineering or multi–disciplinary design. Simulations are alsofeatured on the book s companion website, providing anexcellent tool for instructors to use during lectures.

Présentation de l'éditeur :

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.

À propos de cette édition

• Éditeur: John Wiley & Sons Inc
• Date d'édition: 2014
• ISBN 10: 1118796195
• ISBN 13: 9781118796191
• Reliure: Relié
• Nombre de pages: 272