摘要
集装箱支线物流网络规划设计其实质是带时间窗约束的车辆路径优化问题在船舶领域的另一种应用。枢纽港或中心货源地及各支线港货运需求会随着区域经济形势的起伏与航运市场波动而变动,因此在优化支线物流网络时须考虑货运需求的不确定性。在现有已知货运需求研究的基础上利用鲁棒优化方法对原有的模型及算法进行改进,使其既能够满足系统对优化效果和稳定性的要求,同时有效的弥补了现有的确定需求情况下支线物流网络的不足,增强物流企业的抗风险能力。
The planning and design of the container feeder logistics network is, in nature, an instance of the VRPTW in the vessel field. Since the freight transport demand of the pivot port or the central sourcing destination as well as the feeder ports would fluctuate with the regional economy and the shipping market, when optimizing the feeder logistics network, we must consider the uncertainty of the freight transport demand. In this paper, on the basis of previous studies on freight transport demand, we applied the robust optimization process to improve the available models and algorithms to render them compliant with the requirement for optimization performance and stability and at the same time make up for the inadequacy of the current feeder logistics network with deterministic demand.
出处
《物流技术》
2017年第2期90-94,共5页
Logistics Technology
关键词
时间窗
支线物流网络
鲁棒优化
不确定需求
集装箱
time window
feeder logistics network
robust optimization
uncertain demand
container
