To improve the efficiency of the container terminals, we propose a simulation optimization iteration approach to integrate the yard allocation problem (YAP) with the vehicle congestion problem. YAP is formulated as a mixed integer programming model to reduce the total job travel time. A discrete event simulation model is developed to simulate the terminal operation and traffic movement within the terminal. The approach solves two models iteratively to improve the allocation decisions. Experiment results show that this approach can effectively generate yard allocation decisions, which reduce the overall traffic time comparing with traditional intuitive rules.

中文翻译：

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转运码头交通综合堆场分配问题的仿真优化迭代方法

为了提高集装箱码头的效率，我们提出了一种仿真优化迭代方法，将堆场分配问题（YAP）与车辆拥堵问题相结合。YAP被公式化为混合整数编程模型，以减少总的工作旅行时间。开发了离散事件模拟模型来模拟终端操作和终端内的交通移动。该方法迭代地解决了两个模型以改善分配决策。实验结果表明，该方法可以有效地生成堆场分配决策，与传统的直观规则相比，减少了总的通行时间。