Optimal Reliability Design: Fundamentals and Applications

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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.
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Editorial Reviews

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"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
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Product Details

  • ISBN-13: 9780521031912
  • Publisher: Cambridge University Press
  • Publication date: 9/28/2006
  • Edition description: Reissue
  • Pages: 412
  • Product dimensions: 6.85 (w) x 9.72 (h) x 0.83 (d)

Table of Contents

List of figures
List of tables
1 Introduction to reliability systems 1
2 Analysis and classification of reliability optimization models 33
3 Redundancy allocation by heuristic methods 66
4 Redundancy allocation by dynamic programming 92
5 Redundancy allocation by discrete optimization methods 121
6 Reliability optimization by nonlinear programming 145
7 Metaheuristic algorithms for optimization in reliability systems 166
8 Reliability-redundancy allocation 208
9 Component assignment in reliability systems 236
10 Reliability systems with multiple objectives 275
11 Other methods for system-reliability optimization 296
12 Burn-in optimization under limited capacity 302
13 Case study on design for software reliability optimization 317
14 Case study on an optimal scheduled-maintenance policy 332
15 Case studies on reliability optimization 343
App. 1 Outline of dynamic programming 358
App. 2 The Hooke-Jeeves (H-J) algorithm 360
App. 3 Derivation of polytope U[superscript k+1] from U[superscript k] 362
App. 4 Consecutive k-out-of-n systems 364
References 367
Index 385
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