A bi-objective location-allocation model for humanitarian logistics in the presence of uncertainty; a stochastic robust optimization method

In this paper, a bi–objective model, multi–product and multi–vehicle, under uncertainty environment is proposed. The first objective is maximization of commodity covering transferring to affected areas and the second one is Minimization of total cost. Due to unpredictable of natural disasters and indistinctive level of disaster, some of dependent parameters such as demand of relief commodity are considered uncertain. To solve the proposed bi-objective model under uncertainty, a stochastic robust optimization method and to solve bi-objective model a fuzzy goal programming approach have been adopted. Besides, a case study and necessary sensitivity analysis has been evaluated to prove the efficiency and applicability of the model.

Keywords:

Humanitarian logistics , Stochastic Robust Optimization , Uncertainty , Fuzzy Goal Programming