{"product_id":"probabilistic-design-for-optimization-and-robustness-for-engineers-hardcover","title":"Probabilistic Design for Optimization and Robustness for Engineers - Hardcover","description":"\u003cp\u003eby \u003cb\u003eBryan Dodson\u003c\/b\u003e (Author), \u003cb\u003ePatrick Hammett\u003c\/b\u003e (Author), \u003cb\u003eRene Klerx\u003c\/b\u003e (Author)\u003c\/p\u003e\u003cp\u003e\u003c\/p\u003e\u003cp\u003e\u003ci\u003eProbabilistic Design for Optimization and Robustness\u003c\/i\u003e \u003c\/p\u003e \u003cul\u003e \u003cli\u003ePresents the theory of modeling with variation using physical models and methods for practical applications on designs more insensitive to variation.\u003c\/li\u003e \u003cli\u003eProvides a comprehensive guide to optimization and robustness for probabilistic design.\u003c\/li\u003e \u003cli\u003eFeatures examples, case studies and exercises throughout.\u003c\/li\u003e \u003c\/ul\u003e \u003cp\u003eThe 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.\u003c\/p\u003e\u003ch3\u003eBack Jacket\u003c\/h3\u003e\u003cp\u003e\u003c\/p\u003e\u003cp\u003e\u003cb\u003ePROBABILISTIC DESIGN FOR OPTIMIZATION AND ROBUSTNESS FOR ENGINEERS\u003c\/b\u003e \u003c\/p\u003e\u003cp\u003e\u003cb\u003eHow to apply robust design to engineering design problems\u003c\/b\u003e \u003c\/p\u003e\u003cp\u003eUnlike 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. \u003c\/p\u003e\u003cp\u003eThis book: \u003c\/p\u003e\u003cul\u003e \u003cli\u003eProvides a comprehensive guide to optimization and robustness for probabilistic design for engineers without a statistical background\u003c\/li\u003e \u003cli\u003eFeatures examples, case studies, and exercises that are applicable to a wide range of disciplines such as mechanical, electrical, chemical, aerospace, and industrial engineering\u003c\/li\u003e \u003cli\u003eDescribes how to derive an empirical model when the engineering model is unknown\u003c\/li\u003e \u003cli\u003eProvides a robustness roadmap when using engineering modeling software, such as finite element analysis\u003c\/li\u003e \u003cli\u003eDemonstrates the effective application of numerous tools and methods to develop robust designs including Total Desirability Index and Binary Logistic Regression for Customer Loss Functions\u003c\/li\u003e \u003cli\u003eIs supported by an accompanying website featuring interactive animations and templates that can be customized for design problems encountered in practice\u003c\/li\u003e \u003c\/ul\u003e \u003cp\u003e\u003ci\u003eProbabilistic Design for Optimization and Robustness for Engineers\u003c\/i\u003e 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.\u003c\/p\u003e\u003ch3\u003eAuthor Biography\u003c\/h3\u003e\u003cp\u003e\u003c\/p\u003e\u003cp\u003e\u003cb\u003eBRYAN DODSON\u003c\/b\u003e, \u003ci\u003eExecutive Engineer, SKF, USA\u003c\/i\u003e \u003c\/p\u003e\u003cp\u003e\u003cb\u003ePATRICK C. HAMMETT\u003c\/b\u003e, \u003ci\u003eLead Faculty Six Sigma Program, Integrative Systems \u0026amp; Design, College of Engineering, University of Michigan, Ann Arbor, USA\u003c\/i\u003e \u003c\/p\u003e\u003cp\u003e\u003cb\u003eRENÉ KLERX\u003c\/b\u003e, \u003ci\u003e Principal Statistician, SKF, The Netherlands\u003c\/i\u003e\u003c\/p\u003e\u003cdiv\u003e\n\u003cstrong\u003eNumber of Pages:\u003c\/strong\u003e 272\u003c\/div\u003e\u003cdiv\u003e\n\u003cstrong\u003eDimensions:\u003c\/strong\u003e 0.7 x 9.1 x 6.2 IN\u003c\/div\u003e\u003cdiv\u003e\n\u003cstrong\u003ePublication Date:\u003c\/strong\u003e October 06, 2014\u003c\/div\u003e","brand":"Books by splitShops","offers":[{"title":"Default Title","offer_id":42721432109119,"sku":"9781118796191","price":196.91,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0105\/8226\/1823\/files\/109330409010f499b991cbd539c7a2d8.webp?v=1765092349","url":"https:\/\/dhlswag.com\/products\/probabilistic-design-for-optimization-and-robustness-for-engineers-hardcover","provider":"BBB","version":"1.0","type":"link"}