Optimal Reliability Design

Way Kuo, V. Rajendra Prasad, Frank A. Tillman, Ching-Lai Hwang

ISBN 10: 0521031915 / ISBN 13: 9780521031912

Published by Cambridge University Press, GB, 2006

About this Item

Optimal Reliability Design, first published in 2000, provides a detailed introduction to systems reliability and reliability optimization. Techniques for maximizing system reliability are described, focusing on component reliability enhancement and redundancy arrangement. The authors present several case studies and show how optimization techniques are applied in practice. They also pay particular attention to finding methods that give the optimal trade-off between reliability and cost. The book begins with a review of key background material, and a discussion of a range of optimization models. The authors go on to cover optimization tools, such as heuristics, discrete optimization, nonlinear programming, mixed integer programming, optimal arrangement, and metaheuristic algorithms. They also describe the computational implementation of these tools. Many numerical examples are included, and the book contains over 180 homework exercises. It is suitable as a textbook for graduate-level courses in reliability engineering and operations research. It will also be a valuable reference for practising engineers.

Seller Inventory # LU-9780521031912

Bibliographic Details

• Title: Optimal Reliability Design
• Publisher: Cambridge University Press, GB
• Publication Date: 2006
• Language: English
• ISBN 10: 0521031915
• ISBN 13: 9780521031912
• Binding: Paperback
• Condition: New
• Weight: 666 grams

About this title

Synopsis

Optimal Reliability Design is a detailed introduction to systems reliability and reliability optimization. State-of-the-art techniques for maximizing system reliability are described, focusing on component reliability enhancement and redundancy arrangement. The authors present several case studies and show how optimization techniques are applied in practice. They also pay particular attention to finding methods that give the optimal trade-off between reliability and cost. Chapters cover optimization tools such as heuristics, discrete optimization, nonlinear programming, mixed integer programming, optimal arrangement, and metaheuristic algorithms, and their computational implementation. Many numerical examples are included, as well as over 180 homework exercises. The book is suitable as a text for graduate-level courses in reliability engineering and operations research and as a valuable reference for practicing engineers.

Review

"a very wide-ranging and thorough treatise on the solution of difficult problems in reliability opitimization...The writing is clear and careful and reflects the pooled expertise of the four authors. I would recommend this book both for learning and reference." SHORT BOOK REVIEWS Publication of the International Statistical Institute