Resilience-based network design under uncertainty

Xiaoge Zhang, Sankaran Mahadevan, Shankar Sankararaman and Kai Goebel

Reliability Engineering and System Safety, 2018, vol. 169, issue C, 364-379

Abstract: This paper introduces an approach to quantify resilience for the design of systems that can be described as a network. A key characteristic of resilience is the ability of restoring functionality and performance in response to a disruptive event. Therefore, the restoration behavior is encapsulated via a non-linear function that provides the ability to model at the component level more refined attributes of restoration. In particular, it considers the remaining capacity (absorptive ability), the degree to which capability can be recovered (restoration ability) and the recovery speed. The component restoration functions can then be used to impose a resilience target at a given time as a design constraint.

Keywords: Resilience; Networks; Recovery; Design optimization; Uncertainty (search for similar items in EconPapers)
Date: 2018
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (27)

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Persistent link: https://EconPapers.repec.org/RePEc:eee:reensy:v:169:y:2018:i:c:p:364-379

DOI: 10.1016/j.ress.2017.09.009

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