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Building Resilience Through Risk Analysis

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Abstract

Resilience is the ability of systems and organizations to maintain an acceptable level of service in spite of crises or adverse operating conditions and to recover quickly in the event that service falls below acceptable standards. By creating network models of infrastructure, resources and processes, it is possible to prioritize risks and identify critical vulnerabilities in processes, organizations and systems. Consequently, network models can be used to create effective plans for improving resilience. The main idea is to use a directed graph to construct a network risk model that can be used to identify the most effective options for improving resilience. Methods and tools for building and analyzing such models will be presented along with an actual case study of a supply chain in Afghanistan.

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Correspondence to Philip F. O’Neill .

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© 2017 Springer Science+Business Media B.V.

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O’Neill, P.F. (2017). Building Resilience Through Risk Analysis. In: Linkov, I., Palma-Oliveira, J. (eds) Resilience and Risk. NATO Science for Peace and Security Series C: Environmental Security. Springer, Dordrecht. https://doi.org/10.1007/978-94-024-1123-2_17

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  • DOI: https://doi.org/10.1007/978-94-024-1123-2_17

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  • Publisher Name: Springer, Dordrecht

  • Print ISBN: 978-94-024-1122-5

  • Online ISBN: 978-94-024-1123-2

  • eBook Packages: Computer ScienceComputer Science (R0)

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