For achieving the quick and accurate response to the fuzzy and dynamic relief demand, the emergency resource allocation network under disaster spreading with fuzzy demand is studied in this paper. We first characterize the disaster spreading process to forecast the time-varying relief demand, by using an epidemic model to analyze the relationships among three groups of affected individuals. Then, a three-tiered emergency resource allocation network model consisting of retrieval depots, transit points and demand points is formulated to satisfy the predicted fuzzy demand with the least relief cost, in particular the time cost. By transforming the built model into equivalent variational inequalities for computational solution, we perform numerical simulation to demonstrate
the effectiveness of our model, and discuss the impact of the important parameters. The analysis results show that the dynamics of disaster spreading and the fuzziness of relief demand have important influence on the optimal solution for emergency resource allocation.
ZHU Li ,CAO Jie.
EMERGENCY RESOURCE ALLOCATION OPTIMIZATION UNDER DISASTER SPREADING WITH FUZZY DEMAND. Journal of Systems Science and Mathematical Sciences, 2014, 34(6): 663-673 https://doi.org/10.12341/jssms12348