| Summary: | The interdependent nature of today's infrastructures and industry sectors intensifies in light of major disruptive events, as inoperability propagates throughout physical, geographical, and economic dimensions. Of importance is the ability to measure, and subsequently plan, for how resilient these interdependent systems are to multiple economic disruptions.We have addressed such issues in this study by developing dynamic economic resilience estimation metrics from a dynamic economic risk estimation model. The ultimate goal of this study is to introduce an adaptive dynamic modeling extension to the risk model and use it to develop an adaptive dynamic resilience estimation and planning framework.We have developed a 4-tuple resilience metric to capture system average level of functionality, maximum loss of functionality, time to recovery and rate of recovery, all of which provide a complete resilience measurement scheme for adaptive dynamic resilience. An example problem shows the usefulness of the resilience metrics in recovery planning. © 2013 Taylor and Francis Group, London.
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