Emergency logistics planning under supply risk and demand uncertainty

One of the most important issues in the crisis management is to supply and deliver the correct type and quantity of relief items in a dynamic environment of crisis situations. Current research presented a novel bi-objective bi-level optimization model in order to design an integrated framework for relief logistics operations. The Upper level objectives are to minimize total operational cost and total unsatisfied demand considering the effect of distribution locations of relief supplies. The lower level in the hierarchical decision process, proposes suppliers with lower supply risk. The proposed nonlinear model is reformulated as a single-level linear problem, and for the upper-level decision, the goal programming (GP) approach is employed for the exact solution of the model to minimize deviations from the goals of the bi-objective problem. Finally, a case study of emergency planning for earthquake disaster verifies the performance of the presented model.