集装箱码头同贝同步装卸作业的序列优化模型
发布时间：2018-10-11 08:46
【摘要】：同贝同步装卸是集装箱码头提高装卸作业效率和资源利用率的有效途径和方法.其调度的复杂性体现在需要同时决策装、卸船两类集装箱在受堆场翻箱约束和舱口盖限制情况下的作业序列.针对该问题的柔性准备时间、成组调度和优先顺序约束等特点,本文建立了同贝同步装卸作业的整数规划模型.为求解模型,设计了基于遗传算法和贪婪规则的混合求解算法.最后,通过将算例实验结果与不考虑翻箱和舱口盖限制的简单下界进行比较,验证了模型与算法的有效性,说明所建立的模型有利于提高集装箱码头的装卸作业效率.
[Abstract]:Simultaneous loading and unloading is an effective way and method for container terminal to improve the efficiency of loading and unloading and the utilization of resources. The complexity of scheduling is reflected in the operation sequence of the two types of containers which need simultaneous decision loading and unloading under the constraints of overturning containers in the yard and the hatch cover. Aiming at the characteristics of flexible preparation time, group scheduling and priority constraints, an integer programming model for synchronous loading and unloading operations is established in this paper. In order to solve the model, a hybrid algorithm based on genetic algorithm and greedy rule is designed. Finally, the validity of the model and the algorithm is verified by comparing the experimental results with the simple lower bound without considering the limit of overturning and hatch cover. It is shown that the proposed model can improve the efficiency of loading and unloading of container terminals.
【作者单位】： 大连理工大学管理与经济学部;大连海事大学交通运输管理学院;
【基金】：国家自然科学基金(71272093,71371037)~~
【分类号】：U693
[Abstract]:Simultaneous loading and unloading is an effective way and method for container terminal to improve the efficiency of loading and unloading and the utilization of resources. The complexity of scheduling is reflected in the operation sequence of the two types of containers which need simultaneous decision loading and unloading under the constraints of overturning containers in the yard and the hatch cover. Aiming at the characteristics of flexible preparation time, group scheduling and priority constraints, an integer programming model for synchronous loading and unloading operations is established in this paper. In order to solve the model, a hybrid algorithm based on genetic algorithm and greedy rule is designed. Finally, the validity of the model and the algorithm is verified by comparing the experimental results with the simple lower bound without considering the limit of overturning and hatch cover. It is shown that the proposed model can improve the efficiency of loading and unloading of container terminals.
【作者单位】： 大连理工大学管理与经济学部;大连海事大学交通运输管理学院;
【基金】：国家自然科学基金(71272093,71371037)~~
【分类号】：U693
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