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Mehdi Hemmati Deleted File
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\section{Stochastic Optimization for Natural Disaster Asset Prepositioning}
evacuation \\
Salmeron and Apte \cite{SalmeronApte2010} investigate capacity and resources pre-establishment in pre-disaster phase.
considering relief locations (RLs), where relief items already procured,they classified affected population into three categories: 1) \emph{critical population} : those of urgent need for emergency medical evacuation to RLs, 2) \emph{stay-back population}: those of need for receiving certain commodities for survival, 3) \emph{transfer population} : needing only displacement to RLs. furthermore, it is assumed that if critical and stay-back populations don't be served, they would perish.
considering critical, stay-back and transfer populations; transportation times; relief workers and survival rate for rescued critical population, the authors develop a two-stage stochastic mixed integer programming of the model that minimizes casualties of critical and stay-back populations. Decisions of first stage involves expanding location and capacity of assets (health care providers at hospitals, warehouses for storing commodities etc.), and second stage determines logistics of the problem (i.e., transferring and evacuation of affected population).
The model is solved via commercial solvers and evaluated on a real disaster data.
