Highlighting the competitive advantage available from using risk-based reliability design in the aerospace, automotive, defense, and shipbuilding industries, this book provides an overview of how to apply probabilistic approaches and reliability methods to practical engineering problems. Engineers from the industry and national labs as well as university researchers present success stories and quantify the benefits of reliability design for their organizations. They demonstrate how to convince colleagues and management of the potential benefits of these approaches in allowing their organizations to accrue significant benefits and increase dramatically their competitiveness.
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Quality Control & Reliability
SPC/Reliability/Quality Control
Aerospace Engineering
Reference
Professional

A valuable addition to the reliability literature, this book presents the perspectives of experts from the industry, national labs, and academia on non-deterministic approaches including probabilistic, interval and fuzzy sets-based methods, generalized information theory, Dempster-Shaffer evidence theory, and robust reliability. It includes coverage of advances in all important fields of reliability design including modeling of uncertainty, reliability assessment of both static and dynamic components and systems, design decision making in the face of uncertainty, and reliability validation. The book also discusses documented success stories and quantifies the benefits of these approaches.
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Quality Control & Reliability
Mathematics & Statistics for Engineers
Reference
Professional