I. N. Vuchkov, N. L. Boyadjieva

Quality Improvement with Design of Experiments

A Response Surface Approach

• Gebundenes Buch

Produktbeschreibung

This book 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. All mathematical proofs are given in appendices to the relevant chapters. The book is written for a wide range of engineers, quality engineering professionals, engineering designers, engineering statisticians, and all those who want to apply design of experiments to solving quality improvement problems. The text is appropriate for undergraduate and graduate students in engineering and statistics.

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Hinweis: Dieser Artikel kann nur an eine deutsche Lieferadresse ausgeliefert werden.

Produktdetails

• Topics in Safety, Risk, Reliability and Quality 7
• Verlag: Springer Netherlands
• 2001
• Seitenzahl: 528
• Erscheinungstermin: 28. Februar 2001
• Englisch
• Abmessung: 241mm x 160mm x 33mm
• Gewicht: 912g
• ISBN-13: 9780792368274
• ISBN-10: 0792368274
• Artikelnr.: 23035063

Inhaltsangabe

1. Introduction to Quality Improvement. 2. Statistical Methods for Data Analysis. 3. Design of Regression Experiments. 4. Taguchi's Approach to Quality Improvement. 5. Quality Improvement Through Reduction of the Errors Transmitted from the Factors to The Response. 6. Optimization Procedures for Robust Design of Products and Processes with Errors in the Factors. 7. Robustness Against Both Errors in Product Parameters and External Noise Factors. 8. Quality Improvement Through Mechanistic Models. 9. Quality Improvement of Products Depending on Both Qualitative and Quantitative Factors. 10. Other Methods for Model Based Quality Improvement. Bibliography. Subject Index. Author Index.

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1. Introduction to Quality Improvement.- 2. Statistical Methods for Data Analysis.- 3. Design of Regression Experiments.- 4. Taguchi's Approach to Quality Improvement.- 5. Quality Improvement through Reduction of the Errors Transmitted from the Factors to the Response.- 6. Optimization Procedures for Robust Design of Products and Processes with Errors in the Factors.- 7. Robustness against both Errors in Product Parameters and External Noise Factors.- 8. Quality Improvement through Mechanistic Models.- 9. Quality Improvement of Products Depending on both Qualitative and Quantitative Factors.- 10. Other Methods for Model Based Quality Improvement.- Author Index.

Rezensionen

`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)