It is difficult to generate a new plan effectively for minimizing the negative impact when disruption occurs in logistic distribution． Based on disruption management，this research aims to improve the science of the decision making of disruption management in logistic distribution by combining the behavioral perception in prospect theory with the quantitative analysis in operations research．At the beginning，the method to measure the deviation based on prospect theory is studied by analyzing the effects of disruption on the customer，logis_x005ftics enterprise，and delivery worker． Then，the multi-objective model of disruption management based on the Lexicographic Multiple Goal Programming is constructed and an improved ant colony optimization is demonstrated．The computational result of the model proves that，due to the tradeoff between all parties involved in the logistic distribution，our method is more practical than global rescheduling and local rescheduling．