基于提箱同步的进口箱堆存策略研究

翻箱问题一直是影响集装箱码头堆场作业效率的重要因素之一.优化卸船箱的堆存顺序是降低进口箱提箱翻箱率的重要基础.对集装箱码头的历史作业日志进行数据挖掘，提取客户的提箱行为特征，并定义了客户提箱行为同步性特征的度量方法--客户提箱行为同步度.利用客户提箱同步特征对卸船箱进行分组，对卸船箱的提箱时间区间进行估计并据此判断其提箱次序.按照同组靠近堆放的原则，以最小压箱数为优化目标建立了箱位指派模型.实验结果表明，新的堆存策略在降低翻箱率和减少平面箱位占用率两个方面比码头现有堆存策略有较大改进.

Container Storage Strategies Research Based on Synchronization of Customers’ Retrieval Processes

Container reshuffle problem(CRP) is always one of the important factors that affect the efficiency of container terminal yard operation. Optimizing stacking order of unloading containers is the precondition to reduce the reshuffle ratio of imported container. The customers’ behavioral characteristics are extracted from the data of history operation data of the container terminal by data mining technologies, and a method, customer’s picking-up synchronization degree is designed to measure the synchronicity of customers’ retrieval processes. The unloading containers are regrouped based on the customers’ picking-up synchronization degree and their retrieval orders are predicted by the estimation of their retrieval time interval. According to the principle of the same group containers stacking nearly, an integer programming model of container slots assignment with the optimal objective of balancing the container volumes among various blocks and minimizing overlapping amounts in each bay is proposed. Numerical experiments show that the proposed storage strategy has more remarkable improvement than the current storage strategies in reducing the reshuffle ratio and the occupancy rate of the ground slots.