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\section{Pre-positioning disaster response facilities at safe locations: An evaluation of deterministic and stochastic modeling   approaches}  Verma and Gaukler \cite{Verma&Gaukler2015} evaluated deterministic and stochastic modeling approaches for prepositioning of disaster response facilities. Considering impact of disaster on facilities as well as population areas, the demands and inventory level are uncertain variables. As in \cite{VermaGaukler2011}, \cite{Verma&Gaukler2011},  the authors utilize distance dependent random variable in stochastic model, in which the disruption in facility is a function of its distance from disaster epicenter. The two stage stochastic model locates fixed number of facilities at first stage and determines amount of transferred item from each facility to population area at second stage. The stochastic model is solved via a modified L-shaped technique which employs greedy heuristic with local search engine for solving the master problem.   The model evaluated through a case study of earthquakes in California with 20 demand points, 58 potential facility locations, three different sizes and up to three facilities to be opened.