Buch, Englisch, 411 Seiten, Format (B × H): 170 mm x 244 mm, Gewicht: 708 g
Fundamentals and Applications
Buch, Englisch, 411 Seiten, Format (B × H): 170 mm x 244 mm, Gewicht: 708 g
ISBN: 978-0-521-03191-2
Verlag: Cambridge University Press
Optimal Reliability Design provides 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. 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.
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Weitere Infos & Material
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.
