［Purposes］To study the scheduling support problem in oil supply support activities. ［Methods］Combining various factors, a multi-objective optimization model was established with the objective function of maximizing scheduling efficiency, minimizing system scheduling cost and minimizing system scheduling time. ［Findings］The main objective method of multi-objective optimization was used to transform the problem into a single objective optimization model. The properties of the solution were analyzed and the genetic algorithm was proposed to solve the problem. ［Conclusions］The proposed multi-objective optimization method can not only guarantee the dispatching efficiency, but also obtain the corresponding low system cost and corresponding short system dispatching time, which can provide a reference for the decision-making of oil dispatching guarantee problem.