基于滚动计划的堆场出口箱存储位置分配两阶段模型

Two-stage model for outbound containers' space allocation assignment using rolling horizon method

考虑出口箱进场时间的随机性,将集装箱堆场出口箱箱位分配问题分为两个阶段进行研究:(1)在滚动计划的基础上,以最小化场内集卡运输距离为目标建立整数规划模型,对到场出口箱进行箱区分配;(2)以取箱装船过程中贝位内翻箱数最小和平衡贝位内各堆栈箱数为目标,建立堆场出口箱具体箱位分配的多目标优化模型.应用Matlab软件中Yalmip工具箱编程求解,通过数值实验验证了模型的有效性.实验结果表明,该方法能够有效解决堆场出口箱箱位分配问题,减小堆场设备作业量,并通过减少翻箱操作提高码头作业效率.

This paper addresses storage location assignment for outbound containers. Considering randomness of the containers＇ approach time, this study divides the problem into two phases. The first is distribution of blocks and bays for containers based on a rolling plane. The second is to propose a multi-objective optimization model to minimize reshuffling and balance the number of each stack. The Yalmip toolbox of Matlab is used to solve the problem. Experimental results show that proposed method can effectively solve the space allocation problem for outbound containers, and reduce the amount of yard equipment operations. Efficiency of the terminal operation is significantly improved by reducing reshuffling.