Overview

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.

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9780792368274

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'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)

`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)

`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)

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. <br>(Technometrics, 44: 2, 2002)

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