Disruptive incidents often occur in the berthing operation of container ships.These incidents such as rush operations and sudden weather changes will disrupt the original berth and quay crane allocation plan. How to make a new plan at this time to reduce the impact of disruptive events is particularly important.In this paper,with the goal of minimizing ship delays,terminal operating costs,and the degree of deviation from the recovery plan,a two-stage mixed integer programming model is constructed,and the large-scale domain search (ALNS) heuristic algorithm is used to solve the problem.The reliability of the model is verified by analysis of examples.The results show that the designed berth and quay crane interference recovery model can effectively restore the berth and quay crane plan interference.ALNS algorithm can provide satisfactory solutions and provide certain guidance for the actual operation of container terminals.