基于联动预约模式的集装箱码头集疏港仿真优化

摘要

集装箱码头外部集卡抵港时间存在随机性，导致提交箱任务分布不均，场内机械设备难以均衡负荷作业高峰。通过对外部集卡在港作业不同状态的分析，构建了以时间残值矩阵为核心的线性仿真数学模型。基于该模型提出了码头集疏港联动预约模式，在该模式下外部集卡的预约过程即为集卡司机对仿真计算反馈结果的互动选择过程。借助于与传统预约模式、等额预约模式在不同情形、规模算例下的仿真对比，显示了联动预约模式对于削减作业高峰、缩短集卡在港时间的有效性与鲁棒性。%The randomness implicit in arrival time of external trucks at container terminals leads to the uneven distribution of retrieving and delivery operations. The problem causes that mechanical equipment of the terminal can hardly balance the peak working. Based on the analysis of different operation status of external trucks, a linear simulation mathematical model with time residual matrix as the core is developed. The cooperative appointment is formulated in the base of the simulation model, in which the appointment process of external trucks are equal to the cooperative selection process of truck drivers considered the simulation feedback. Comparing with traditional appointment and equal quota appointment through a series of large-scale experiments under different circumstances, the results demonstrates the effectiveness and robust of cooperative appointment on balancing the peak working and decreasing the turn time of external trucks.