Statistical Design of Experiments with Engineering Applications
Auteurs : Rekab Kamel, Shaikh Muzaffar
In today's high-technology world, with flourishing e-business and intense competition at a global level, the search for the competitive advantage has become a crucial task of corporate executives. Quality, formerly considered a secondary expense, is now universally recognized as a necessary tool. Although many statistical methods are available for determining quality, there has been no guide to easy learning and implementation until now. Filling that gap, Statistical Design of Experiments with Engineering Applications, provides a ready made, quick and easy-to-learn approach for applying design of experiments techniques to problems. The book uses quality as the main theme to explain various design of experiments concepts.
The authors examine the entire product lifecycle and the tools and techniques necessary to measure quality at each stage. They explain topics such as optimization, Taguchi's method, variance reduction, and graphical applications based on statistical techniques. Wherever applicable the book supplies practical rules of thumb, step-wise procedures that allow you to grasp concepts quickly and apply them appropriately, and examples that demonstrate how to apply techniques. Emphasizing the importance of quality to products and services, the authors include concepts from the field of Quality Engineering. Written with an emphasis on application and not on bogging you down with the theoretical underpinnings, the book enables you to solve 80% of design problems without worrying about the derivation of mathematical formulas.
Date de parution : 09-2019
15.2x22.9 cm
Date de parution : 04-2005
Ouvrage de 300 p.
15.2x22.9 cm
Thèmes de Statistical Design of Experiments with Engineering... :
Mots-clés :
Full Factorial Design; Experimental Design Plan; Fractional Factorial Designs; Experimental Run; Prediction Equation; Resolution Iii; Resolution Iv; Resolution Iv Design; Plackett Burman Designs; Normal Probability Plot; AB AC Ad; Half Effect; Taguchi Designs; Rotatable Central Composite Design; Face Centered Central Composite Design; À C À À; Dispersion Minimization; AB AC; Unreplicated Study; Factorial Designs; ABCD; Filtration Cycle; CCDs; Box Behnken Design; AB AC Ad BC BD