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This text presents a model-based approach to quality improvement through design of experiments. After a description of statistical methods for data analysis and design of experiments it addresses the following topics: Taguchi's approach to quality improvement; reduction of errors transmitted from factors to the response; robustness against errors in product/process parameters and external noise factors; optimization procedures for product/process design; quality improvement through mechanistic models; quality improvement of products with both qualitative and quantitative factors; and quality improvement based on replicated observations. The book provides systematic and detailed practical guidance to a model-based approach to quality engineering problems. All methods are illustrated by real-world examples that make them readily accessible to readers.
Recensione:
`This book is interesting and provides a nice resource for understanding many of the issues confronting robust parameters design. Overall this book fills a valuable niche among quality improvement texts.'
Technometrics, 44:2 (2002)
Titolo: Quality Improvement with Design of ...
Casa editrice: Springer
Data di pubblicazione: 2001
Legatura: Rilegato
Condizione: Brand New