Unexpected events，which may disable the original distribution plan，occur occasionally in urban distribution systems． In order to solve the difficult problem，the author adopted the methodology of disruption management to construct a lexicographic multi-objective disruption management model to handle the disruption caused by an unexpected event in urban distribution systems． This model measured disruptions from the following three aspects: Customer dissatisfaction，operational cost and path deviation． Tabu search algorithm，which combines several kinds of neighborhood functions，was adopted to solve the model． The computational results of the model proved that，due to the tradeoff between all parties involved in the distribution system，the model is more effective than existing global rescheduling models． Moreover，it is more flexible and feasible than traditional models in the aspects of objective ranking and customer dissatisfaction measuring in practical applications．