دانلود کتاب Importance Measures in Reliability, Risk, and Optimization: Principles and Applications

This unique treatment systematically interprets a spectrum of importance measures to provide a comprehensive overview of their applications in the areas of reliability, network, risk, mathematical programming, and optimization. Investigating the precise relationships among various importance measures, it describes how they are modelled and combined with other design tools to allow users to solve readily many real-world, large-scale decision-making problems. Presenting the state-of-the-art in network analysis, multistate systems, and application in modern systems, this book offers a clear and complete introduction to the topic. Through describing the reliability importance and the fundamentals, it covers advanced topics such as signature of coherent systems, multi-linear functions, and new interpretation of the mathematical programming problems.Key highlights:Generalizes the concepts behind importance measures (such as sensitivity and perturbation analysis, uncertainty analysis, mathematical programming, network designs), enabling  readers to address large-scale problems within various fields effectivelyCovers a large range of importance measures, including those in binary coherent systems, binary monotone systems, multistate systems, continuum systems, repairable systems, as well as importance measures of pairs and groups of componentsDemonstrates numerical and practical applications of importance measures and the related methodologies, including risk analysis in nuclear power plants, cloud computing, software reliability and moreProvides thorough comparisons, examples and case studies on relations of different importance measures, with conclusive results based on the authors’ own researchDescribes reliability design such as redundancy allocation, system upgrading and component assignment.This book will benefit researchers and practitioners interested in systems design, reliability, risk and optimization, statistics, maintenance, prognostics and operations. Readers can develop feasible approaches to solving various open-ended problems in their research and practical work. Software developers, IT analysts and reliability and safety engineers in nuclear, telecommunications, offshore and civil industries will also find the book useful.Content: Chapter 1 Introduction to Importance Measures (pages 5–13): Chapter 2 Fundamentals of Systems Reliability (pages 15–43): Chapter 3 The Essence of Importance Measures (pages 49–53): Chapter 4 Reliability Importance Measures (pages 55–67): Chapter 5 Lifetime Importance Measures (pages 69–85): Chapter 6 Structure Importance Measures (pages 87–126): Chapter 7 Importance Measures of Pairs and Groups of Components (pages 127–139): Chapter 8 Importance Measures for Consecutive?k?Out?Of?n Systems (pages 141–163): Chapter 9 Redundancy Allocation (pages 169–181): Chapter 10 Upgrading System Performance (pages 183–216): Chapter 11 Component Assignment in Coherent Systems (pages 217–231): Chapter 12 Component Assignment in Consecutive?k?Out?Of?n and its Variant Systems (pages 233–256): Chapter 13 B?Importance?Based Heuristics for Component Assignment (pages 257–280): Chapter 14 Comparisons of Importance Measures (pages 285–295): Chapter 15 Generalizations of Importance Measures (pages 297–326): Chapter 16 Networks (pages 331–344): Chapter 17 Mathematical Programming (pages 345–359): Chapter 18 Sensitivity Analysis (pages 361–393): Chapter 19 Risk and Safety in Nuclear Power Plants (pages 395–408):