基于双向信息传递的场桥配置与集卡预约协同优化

Collaborative optimization of yard crane deployment and truck appointment based on two-way transmission of information

基于集卡司机与码头之间信息的双向传递,提出考虑场桥资源动态配置的集卡预约新模式.在该模式下,场桥资源配置信息以及码头繁忙信息将在预约过程中作为决策辅助信息反馈给集卡司机,并设计双层遗传算法求解动态预约过程中场桥资源配置的优化问题.新预约模式与传统预约模式、等额预约模式在不同情形、规模算例下的仿真对比表明,新预约模式对于削减作业高峰、缩短集卡在港时间具有有效性与实用性.

Based on the interconnection between the truck drivers and the terminal, this paper presented a new mechanism of appointment considering dynamic deployment of yard crane. In this mechanism, the information of yard crane＇ s deployment and busy level of the terminal will be fed back to the truck drivers as the decision support in the appointment process. A bilevel genetic algorithm was developed to solve the dynamic optimization of yard crane deployment. Comparing with traditional appointment and equal quota appointment through a series of large-scale experiments under different circumstances, the simulation results demonstrate the effectiveness and robust of co-appointment on flattening the peak working and decreasing the turn time of external trucks.