In order to resolve the disturbance in the process of logistics distribution, a multi-objective optimization model and the user sensitivity decision model for disruption management are established. Acting the user's psychological perception time as the reference point, the psychological perception of the expected time is measured using the prospect theory, and the psychological perception curve and the value function curve are designed. In order to reduce the impact of disruption in the distribution process and obtain the optimum solution of multi-objective optimization problem, an improved quantum bacterial foraging algorithm based on dynamic indentation step is proposed. The effectiveness of the proposed method is verified through the comparison with some existing classical algorithms and the test on the Solomon example.