 Modeling the recovery process: A key dimension of resilienceBeatrice Cassottana, Lijuan Shen and Loon Ching Tang Reliability Engineering and System Safety, 2019, vol. 190, issue C, - Abstract: The recovery process is a key determinant of system resilience because it describes the capability of a system to restore its performance after a disruption. In this work, we construct recovery functions that satisfy the necessary conditions to model the performance of critical infrastructure systems over time, during periods of loss and restoration following a disruptive event. To characterize the responses by various systems, we estimate the parameters of those functions by using empirical data about major infrastructure disruptions, including their recovery processes. The validity of our procedure is then illustrated by applying data from the three major utility companies that served New Jersey in the aftermath of Hurricane Sandy. Models are selected via standard methods to compare those recovery processes. Our results indicate that the recovery functions proposed here can capture the sensitivity of a system response to key parameters, thereby supporting the design of a more resilient system. Keywords: Resilience; Recovery; Performance function (search for similar items in EconPapers) Downloads: (external link) Related works: Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text Persistent link: https://EconPapers.repec.org/RePEc:eee:reensy:v:190:y:2019:i:c:12 DOI: 10.1016/j.ress.2019.106528 Access Statistics for this article Reliability Engineering and System Safety is currently edited by Carlos Guedes Soares More articles in Reliability Engineering and System Safety from Elsevier |
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