Probabilistic Design for Optimization and Robustness:
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.
Le informazioni nella sezione "Riassunto" possono far riferimento a edizioni diverse di questo titolo.
How to apply robust design to engineering design problems
Unlike the Taguchi approach to robustness, which requires experimentation, the approach described in this book takes advantage of engineering knowledge to create models for system variation. Probabilistic Design for Optimization and Robustness for Engineers illustrates how to use these variation models to optimize total system cost, including component cost, manufacturing cost, re-work cost, and scrap cost. The text begins with simple, single output systems, and proceeds to complex systems with multiple outputs and many inputs. This methodology works equally well for engineering designs, or process design, or process improvement.
This book:
Describes how to derive an empirical model when the engineering model is
Probabilistic Design for Optimization and Robustness for Engineers is useful for practising engineers faced with the challenge of variation in design as well as senior and graduate level engineering and statistics students studying systems engineering or multi-disciplinary design. Simulations are also featured on the book’s companion website, providing an excellent tool for instructors to use during lectures.
Le informazioni nella sezione "Su questo libro" possono far riferimento a edizioni diverse di questo titolo.
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Hardback. Condizione: New. New copy - Usually dispatched within 4 working days. 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. Codice articolo B9781118796191
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