Bi-objective facility location in the presence of uncertainty

In real world decision making, the idea of intersecting multiple objectives and parameters uncertainty is of vital importance. In this paper, we address a two-stage bi-objective location-allocation problem for a last mile network in humanitarian logistics where one objective is affected by demand uncertainty. In order to find a reliable methodology, we embed three different uncertainty approaches into two criterion space search methods. We develop a matheuristic technique to find high-quality approximations of the Pareto-frontier for large size instances. We analyze and compare the performance of the applied approaches on real world case studies.