Abstract:

In organizing and scheduling the mobilization of disaster relief of non-war operations, some ne-cessary issues, i.e., the uncertainty environment conditions, the varied requirements on forward transportation of multi-commodities, backwarddelivery of wounded people and the transfer of displaced population, must be concerned. A twostage stochastic mixed integer model with multiple objectives for disaster relief mobilization is proposed to determine the scenarioindependent decision variables that include the expandable levels of relief commodities, medical facilities and temporary shelters, as well as the overall transportation plans under each scenario. The objectives of the proposed model are to maximize the overall expected satisfaction ratio while minimizing the expected cost of the mobilization system. Furthermore, an efficient heuristic algorithm with the concept of scenario decomposition is developed according to the structure of the proposed model. Finally, the efficiency of the proposed model and the algorithm is validated by a data case.