Abstract
Catastrophic events can dramatically disrupt distribution networks and supply chains; think, for example, about the threat of a hurricane, which causes significant spikes in demands for gasoline, water, and other products. What are the weak links in such a supply network, or what is the most likely way in which such a network can be disrupted? In “Rare Event Simulation for Distribution Networks,” J. Blanchet, J. Li, and M. K. Nakayama devise optimal simulation algorithms for estimating the occurrence of disruptive events in complex distribution networks. This development is noteworthy because it can be used to mitigate the impact in populations that are susceptible to these types of events, which can incur tremendous costs to society.
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