自动化码头起重机和自带提升功能的AGV的集成调度

发布时间：2018-05-27 22:43

本文选题：自动化码头 + 自动导引小车(AGV)　；参考：《上海海事大学学报》2017年03期

【摘要】：为深入研究新工艺带来的自动化码头设备集成调度问题,针对自动化码头的一种自带提升功能的自动导引小车(L-AGV)和缓冲支架系统,提出新的设备集成调度框架。考虑不同设备之间的相互关联和制约的协同关系,将岸桥分配调度与L-AGV、场桥调度分开,合理定义两种任务(两个问题)的划分方式,建立两个多目标混合整数规划模型。设计一种具有内外层关联的适应度函数的双层遗传算法。相对传统联合调度算法,该算法平衡了计算复杂性与调度均衡性。最后的数值试验证明了模型和算法的有效性。从岸桥数量、任务规模、AGV数量和调度策略等对岸桥等待时间的影响上,对采用L-AGV的系统和采用传统AGV的系统进行比较,为自动化码头装卸作业调度提供决策支持。
[Abstract]:In order to study the integrated scheduling problem of the automatic terminal equipment brought by the new technology, a new integrated scheduling framework of equipment is proposed for the automatic guided vehicle (L-AGV) and buffer support system of the automatic wharf with its own lifting function. Considering the interrelation and restriction of different equipments, this paper separates the land bridge assignment scheduling from the L-AGV scheduling and the field bridge scheduling, defines two kinds of tasks (two problems) reasonably, and establishes two multi-objective mixed integer programming models. A double layer genetic algorithm with fitness function of inner and outer layer correlation is designed. Compared with the traditional joint scheduling algorithm, the algorithm balances computational complexity with scheduling equalization. Finally, the validity of the model and algorithm is proved by numerical experiments. Based on the influence of the waiting time of quayside bridge, such as the number of quayside bridges, the task size and the scheduling strategy, this paper compares the system using L-AGV with the system using traditional AGV to provide decision support for the dispatching of loading and unloading operations of automatic wharf.
【作者单位】：上海海事大学物流工程学院;上海振华重工电气有限公司软件自动化部;
【基金】：上海海事大学研究生创新基金(2016ycx039)
【分类号】：U691.3

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