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Zusatztext The author is one of the leading researchers engaged in addressing this issue ? an excellent source for applied statisticians and engineers alike who are interested in the applications of multivariate statistical models. The treatment of the subject matter makes it not only a useful reference for researchers and practitioners in this field (quality monitoring and applied statistics)! but also an excellent textbook for a graduate level advanced quality course ? a useful resource for industrial practitioners ? an excellent collection of materials for researchers! practitioners! and educators interested in advanced quality monitoring through the application of multivariate statistics and linear systems principles! and this book can be used as part of a graduate level advanced quality course. -Satish T.S. Bukkapatnam! Oklahoma State University! Technometrics! Vol. 51 No. 4! Nov. 2009 Informationen zum Autor Jianjun Shi Klappentext Presenting proven techniques illustrated by case studies! Stream of Variation Modeling and Analysis for Multistage Manufacturing Processes summarizes the new methodologies and their implementation in the area of variation modeling! control! and reduction. Variation management and reduction is essential to achieving high product quality! productivity! and low manufacturing cost. This book focuses on developing a unified! systematic! and generic methodology and investigates fundamental issues. It discusses research funded by the National Science Foundation and demonstrates the implementation of the SoV methodology that has been funded by GM! Daimler-Chrysler! Ford! Auto Body Consortium! and others. Zusammenfassung Variation management and reduction is essential to achieving high product quality, productivity, and low manufacturing cost. This book focuses on developing a generic methodology and investigates fundamental issues. It discusses research funded by the National Science Foundation and demonstrates the implementation of the SoV methodology. Inhaltsverzeichnis Basis of Matrix Theory and Multivariate Statistics. Variation Propagation Modeling in MMP. Variation Source Diagnosis. Design for Variation Reduction. Quality and Reliability Integration and Advanced Topics. Index....
