Robust Design Methodology for Reliability
Exploring the Effects of Variation and Uncertainty
Herausgegeben von Bergman, Bo; de Mare, Jacques; Svensson, Thomas; Loren, Sara
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Discussing reliability problems in a constructive and practical manner, Robust Design Methodology for Reliability provides new principles for reliability design and the tools to put these principles into action. Featured contributions advocate testing for robustness in the early stages of product design development and consider varying uncertainties that are sometimes inherent in model assumptions for design solutions but which should not affect the system solution. Featuring vivid illustrations from real-world problems, the book shows advanced designers and reliability specialists how reliability design can relate to and work with DfSS.
Based on deep theoretical as well as practical experience in Reliability and Quality Sciences, Robust Design Methodology for Reliability constructively addresses practical reliability problems. It offers a comprehensive design theory for reliability, utilizing robust design methodology and six sigma frameworks. In particular, the relation between un-reliability and variation and uncertainty is explored and reliability improvement measures in early product development stages are suggested.
Many companies today utilise design for Six Sigma (DfSS) for strategic improvement of the design process, but often without explicitly describing the reliability perspective; this book explains how reliability design can relate to and work with DfSS and illustrates this with real-world problems. The contributors advocate designing for robustness, i.e. insensitivity to variation in the early stages of product design development. Methods for rational treatment of uncertainties in model assumptions are also presented.
This book
promotes a new approach to reliability thinking that addresses the design process and proneness to failure in the design phase via sensitivity to variation and uncertainty;
includes contributions from both academics and industry practitioners with a broad scope of expertise, including quality science, mathematical statistics and reliability engineering;
takes the innovative approach of promoting the study of variation and uncertainty as a basis for reliability work;
includes case studies and illustrative examples that translate the theory into practice.
Robust Design Methodology for Reliability provides a starting point for new thinking in practical reliability improvement work that will appeal to advanced designers and reliability specialists in academia and industry including fatigue engineers, product development and process/ quality professionals, especially those interested in and/ or using the DfSS framework.
Many companies today utilise design for Six Sigma (DfSS) for strategic improvement of the design process, but often without explicitly describing the reliability perspective; this book explains how reliability design can relate to and work with DfSS and illustrates this with real-world problems. The contributors advocate designing for robustness, i.e. insensitivity to variation in the early stages of product design development. Methods for rational treatment of uncertainties in model assumptions are also presented.
This book
promotes a new approach to reliability thinking that addresses the design process and proneness to failure in the design phase via sensitivity to variation and uncertainty;
includes contributions from both academics and industry practitioners with a broad scope of expertise, including quality science, mathematical statistics and reliability engineering;
takes the innovative approach of promoting the study of variation and uncertainty as a basis for reliability work;
includes case studies and illustrative examples that translate the theory into practice.
Robust Design Methodology for Reliability provides a starting point for new thinking in practical reliability improvement work that will appeal to advanced designers and reliability specialists in academia and industry including fatigue engineers, product development and process/ quality professionals, especially those interested in and/ or using the DfSS framework.
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