Several sources of uncertainty exist in the effort to quantify the efficacy of preparedness decision-making in interdependent systems. For the Inoperability Input-Output Model (IIM), a risk-based extension of the traditional Leontief model, which describes the propagation of inoperability...

This work demonstrates a time-dependent paradigm for resilience and associated stochastic metrics in a waterway transportation context. We deploy two stochastic resilience-based component importance measures that highlight the critical waterway links that contribute to waterway network...

This work describes the interdependent adverse effects of disruptive events on inter-regional commodity flows resulting from disruptions at an inland port terminal. To do so we integrate the risk-based Multi-Regional Inoperability Input-Output Model, which measures the cascading regional effects...

Decision-making involving large-scale systems often involves considerations for temporal changes, interdependencies in organizational structures, multiple competing objectives, and risk and uncertainty, among others. In this paper we develop a risk-based methodology, the Multiobjective...

The goals of this paper are to: (i) enhance the manner in which fatal airport runway excursions are modeled and quantified and (ii) explore a means to mitigate their occurrence and severity. While other research in predicting runway excursions has focused on the type of excursion, this work...

This paper extends the recently developed dynamic inoperability input-output model (DIIM) for assessing productivity degradations due to disasters. Inventory policies are formulated and incorporated within the DIIM to evaluate the impact of inventories on the resilience of disrupted...