Rennemo, Sigrid Johansen, Norwegian University of Science and Technology; Rø, Kristina Fougner, Norwegian University of Science and Technology; Hvattum, Lars Magnus, Norwegian University of Science and Technology; Tirado, Gregorio, Universidad Complutense de Madrid
(2014)
This paper presents a three-stage mixed-integer stochastic programming model for disas- ter response planning, considering the opening of local distribution facilities, initial alloca- tion of supplies, and last mile distribution of aid. The vehicles available for transportation, the state of the infrastructure and the demand of the potential beneficiaries are considered as stochastic elements. Extensive computational testing performed on realistic instances shows that the solutions produced by the stochastic programming model are significantly better than those produced by a deterministic expected value approach.