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为提高集装箱船舶装卸过程中集卡和吊装设备同步作业效率,引入基于时间窗的冲突反馈机制。首先根据港口物流常规工作参数,结合港口物流成本计算方法,预先分配集装箱装卸任务,规划转移路线,然后在工作过程中实时监控集卡队列行驶位置,设计基于能力约束判断的资源协作模型,解决吊装作业溢出问题。为避免局部收敛,模型应用了改进的量子遗传进化算法进行求解。案例分析表明:资源协作能力约束下的集卡调度实施后,泊船停靠时间大大缩短,堆场通道堵塞现象大大减少。因此,通过协作能力约束分配港口物流资源可以在控制港口内部物流系统整体成本的基础上改善物流效率。
In order to improve the synchronization efficiency of container trucks and lifting equipment during the loading and unloading of container ships, a conflict feedback mechanism based on time window is introduced. Firstly, according to the general working parameters of port logistics and the method of port logistics cost calculation, pre-allocate container loading and unloading tasks and plan transfer routes, and then monitor the driving position of the truck queue in real time during the working process, design a resource cooperation model based on capability constraint judgment, Job overflow problem. In order to avoid local convergence, the improved quantum genetic algorithm is applied to solve the model. The case study shows that: After the implementation of the dispatching of the collection card under the constraint of resource cooperation ability, the parking time of moored boats and ships is greatly shortened, and the blockage of passageways in the yard is greatly reduced. Therefore, the distribution of port logistics resources through the coordination ability constraint can improve the logistics efficiency based on controlling the overall cost of the internal logistics system in the port.