The rush repair work of the distribution network is mainly aimed at the faultsof residential users below 10 kV. The rush repair is heavy workload and the requirement of the arrival time is short. The existing rush repair has the following problems: the differences and uncertainties of different regions are not fully considered for layout; the location selection model ofrepairing resources is simple. Considering the influence of different objectives on resources allocation, a multiobjective optimization location model for repair resources in distribution network is built. The distance and cost objective functions are constructed according to the failure schedule, weather and road conditions, and the constraints of the coverage area and arrival distance are set at the same time. A multiobjective particle swarm optimization (PSO) algorithm based on Pareto dominance is used to solve the optimization problem. The final optimization scheme is obtained by the ordinal number preference method based on information entropy. Finally, an case study is performed to illustrate the feasibility of the proposed model.