Abstract: For the problem of emergency supply scheduling, it should minimize both transportation cost and time delay. A multiobjective optimization model is established for this problem. This model is converted to a single objective model by using technique for order preference by similarity to ideal solution. Then, particle swarm optimization algorithm is designed to solve the problem by setting learning factor and inertia weight to linear and increasing local perturbation. With the help of an empirical analysis in combination with the example, the algorithm is proved suitable and valid. This is an effective and reliable approach for emergency supply scheduling.

Key words: emergency management, supply scheduling, particle swarm optimization