一种降低港口物流空载成本的组合估计模型

A Combinational Estimation Model to Reduce Vehicle Idling Cost in Port Logistics Operations

通过定性分析港口物流空载发生的现象及原因,结合蚁群计算法建立一种港口物流车辆配置与货物运输需求之间的最优路径模型,根据各路径上信息元素轨迹决定空载车辆动向,不断更新路径上物流信息数量降低车辆空载率,降低港口物流空载成本,以辽宁省港口物流空载现象进行仿真实验。结果表明基于蚁群计算法构建的组合模型通过最优化选择路径降低港口物流空载货车的成本,进而为我国港口物流空载行业的成本计算及成本控制提供了相应的解决方法与相关建议。

In this paper, through analyzing qualitatively the phenomenon and cause of the idling in port logistics operations and in connection with the ant colony algorithm, we built the optimal path model that considered the deployment of the port logistics vehicles and the demand of cargo transportation, then simulated the idling of the port logistics vehicles in Liaoning, and through the simulation, demonstrated that the combinational model based on the ant colony algorithm could effectively reduce the cost from the idling of the port logistics vehicles.