在堆场作业规模较大背景下，考虑集卡预约信息的影响，以箱区间作业不均衡量最小为目标，建立箱区分配和场桥配置的协同优化模型，为进口任务分配合理的堆存箱区并安排装卸场桥. 模型采用CPLEX求解，将考虑集卡预约信息的优化模式与不考虑集卡预约信息的传统模式的实验结果进行对比，并从集卡预约信息、场桥数量、集装箱数量以及任务拆分数等方面进行灵敏度分析. 结果显示，考虑集卡预约信息可降低20%~30%的作业不均衡量，验证了模型的有效性，对堆场的科学管理具有指导意义.

Under the background of a large scale of yard operations, with the aim of minimizing unbalanced workload among blocks, a collaborative optimization model for allocation of yard blocks and yard cranes was proposed by considering the influence of truck appointment information, which could allocate reasonable storage area for import containers and arrange loading and unloading yard cranes. The model was solved by CPLEX, and the experimental results of the optimization model considering truck appointment information and the traditional model without truck appointment information were compared, and the sensitivity analysis was also carried out in the aspects of truck appointment information, yards crane number, containers number and task split score. Results show that the unbalanced workload can be reduced by 20%~30% considering truck appointment information, which verifies the validity of the model and has guiding significance for the scientific management of the storage yard.