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OverviewIn 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. Full Product DetailsAuthor: Kamel Rekab , Muzaffar ShaikhPublisher: Taylor & Francis Ltd Imprint: CRC Press Weight: 0.362kg ISBN: 9780367393021ISBN 10: 0367393026 Pages: 268 Publication Date: 05 September 2019 Audience: Professional and scholarly , Professional & Vocational Format: Paperback Publisher's Status: Active Availability: In Print ![]() This item will be ordered in for you from one of our suppliers. Upon receipt, we will promptly dispatch it out to you. For in store availability, please contact us. Table of ContentsPreface. Introduction. Designing and Conducting Experiments. Optimization of the Location Parameter. Minimization of the Dispersion. Taguchi's Approach to the Design of Experiments. Statistical Optimization of the Location Parameter. Statistical Minimization of the Dispersion Parameter. Validity of the Prediction Equation. Three-Level Factorial Designs. Second-Order Analysis. Appendices.ReviewsAuthor InformationRekab, Kamel; Shaikh, Muzaffar Tab Content 6Author Website:Countries AvailableAll regions |