Optimal Reliability Design
Fundamentals and Applications

This book, first published in 2000, is an introduction to modern systems reliability and reliability optimization, illustrated with real case studies.

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

9780521031912, Cambridge University Press

Paperback / softback, published 23 November 2006

412 pages, 40 b/w illus. 94 tables 188 exercises
24.3 x 16.8 x 2.1 cm, 0.666 kg

'… the book provides a detailed introduction to the fundamentals and applications of systems reliability and reliability optimisation … I found the book excellent … I highly recommend the book as a textbook for graduate courses in reliability engineering and operations research … a valuable reference book for practising engineers and even for anyone seeking to know about reliability optimisation.' A. Saidane, Microelectronics Journal

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.

List of figures
List of tables
Preface
Acknowledgments
1. Introduction to reliability systems
2. Analysis and classification of reliability optimization models
3. Redundancy allocation by heuristic methods
4. Redundancy allocation by dynamic programming
5. Redundancy allocation by discrete optimization methods
6. Reliability optimization by nonlinear programming
7. Metaheuristic algorithms for optimization in reliability systems
8. Reliability-redundancy allocation
9. Component assignment in reliability systems
10. Reliability systems with multiple objectives
11. Other methods for system-reliability optimization
12. Burn-in optimization under limited capacity
13. Case study on design for software reliability optimization
14. Case study on an optimal scheduled-maintenance policy
15. Case studies on reliability optimization
Appendices
References
Index.

Subject Areas: Engineering: general [TBC], Optimization [PBU]