Importance Measures in Reliability, Risk, and Optimization Principles and Applications
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Form:Einzelkauf Download
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Sprache:Englisch
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eBook Format:PDF
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Produktdetails
Format
Kopierschutz
Ja
Family Sharing
Nein
Text-to-Speech
Nein
Erscheinungsdatum
27.04.2012
Verlag
Wiley-BlackwellSeitenzahl
384 (Printausgabe)
Dateigröße
5014 KB
Auflage
1. Auflage
Sprache
Englisch
EAN
9781118304167
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
effectively
* Covers 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 components
* Demonstrates numerical and practical applications of importance
measures and the related methodologies, including risk analysis in
nuclear power plants, cloud computing, software reliability and
more
* Provides thorough comparisons, examples and case studies on
relations of different importance measures, with conclusive results
based on the authors' own research
* Describes 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.
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
effectively
* Covers 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 components
* Demonstrates numerical and practical applications of importance
measures and the related methodologies, including risk analysis in
nuclear power plants, cloud computing, software reliability and
more
* Provides thorough comparisons, examples and case studies on
relations of different importance measures, with conclusive results
based on the authors' own research
* Describes 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.
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