System Resilience Optimization Under Stochastic Recovery Process

Abstract

There has been significant development of complex engineered infrastructures systems such as power grids, transportation infrastructure, healthcare delivery systems and supply chain systems in the last two decades. The increasing natural and manmade hazards have caused significant performance disruption and failures of such systems; where the performance, failures and repairs under these hazards are failed to be appropriately described by the traditional reliability metrics. In this presentation, we focus on one of the extended reliability metrics, namely resilience. Taking robustness and restoration ability into consideration, we propose quantifications of resilience for both non-repairable and repairable systems under multi hazard. As restoration is conducted with limited resource under most circumstances, we recommend importance measures (IMs) to identify critical components in the system; i.e., components whose failures and repairs have the greatest impact on the system performance. Applying IMs, we obtain the optimal order to repair the failed components.