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Resilience-based network design under uncertainty

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  • Zhang, Xiaoge
  • Mahadevan, Sankaran
  • Sankararaman, Shankar
  • Goebel, Kai

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.

Suggested Citation

  • Zhang, Xiaoge & Mahadevan, Sankaran & Sankararaman, Shankar & Goebel, Kai, 2018. "Resilience-based network design under uncertainty," Reliability Engineering and System Safety, Elsevier, vol. 169(C), pages 364-379.
    • Handle: RePEc:eee:reensy:v:169:y:2018:i:c:p:364-379
    DOI: 10.1016/j.ress.2017.09.009
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    References listed on IDEAS

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