Eric D. Vugrin

TL;DR: In this paper, the authors developed a comprehensive resilience assessment framework for evaluating the resilience of infrastructure and economic systems and demonstrated the utility of the assessment framework through application to two hypothetical scenarios involving the disruption of a petrochemical supply chain by hurricanes.

TL;DR: In this paper, the authors propose a general framework for assessing the resilience of infrastructure and economic systems, which consists of three primary components: (1) a definition of resilience that is specific to infrastructure systems; (2) a quantitative model for measuring resilience of systems to disruptive events through the evaluation of both impacts to system performance and the cost of recovery; and (3) a qualitative method for assessing system properties that inherently determine system resilience.

TL;DR: It is estimated that lowering the nicotine content in cigarettes to a minimally addictive level could substantially reduce tobacco-related mortality.

TL;DR: The intent of this paper is to formulate a bi-level optimisation model for network recovery and to demonstrate a solution approach for that Optimisation model.

TL;DR: A stochastic optimization model for designing network infrastructure resilience that simultaneously considers pre- and post-disruption activities is introduced, seeking investment–recovery combinations that minimize the overall cost to a distribution network across a set of disruption scenarios.