%0 Journal Article
%T 考虑模糊需求的多式联运路径优化<br>Multimodal transportation routing optimization considering fuzzy demands
%A 于雪峤
%A 郎茂祥
%A 王伟哲
%A 于潇
%J 北京交通大学学报
%D 2018
%R 10.11860/j.issn.1673-0291.2018.03.004
%X 摘要 多式联运可有效降低物流成本，提高物流效率.本文构建了基于运量不确定的多式联运网络规划，以节点作业时间窗和运输时限客户满意度为约束，建立了以总费用最低为目标的多式联运路径优化模型，从运输路径和运输方式两个维度选择广义最短路径.应用Lingo 12.0实现模型的求解，实验结果表明了多式联运相较单一运输方式在运输时间与费用上的优越性，并应用灵敏度分析法，对比了仅考虑运输时限约束时客户满意度的变化，展示了运量的不确定性及运输弧与节点能力对路径规划产生的影响，揭示了客户满意度、网络能力、运输路径与费用等因素的相互关系，验证了所建模型的合理性.<br>Abstract：The analysis of optimized multimodal transportation routing can contribute to effectively reduce the cost of transportation and enhance the efficiency of logistic management. This paper focuses on building an optimized multimodal transportation routing model with time windows, aiming to minimize the total expense and find the shortest route from the dimension of transportation route and mode. With the implementation of Lingo 12.0 into the model analysis process, the results show the superiority of multimodal transportation compared with single transportation mode in transportation time and cost. The sensitivity analysis method is applied to compare the change of customer satisfaction only when the transport time constraint is taken into account.Also it shows the influence of uncertainty of demand, transportation arc and node capability on routing planning, which reveals the correlation between factors such as customer’s satisfaction rating, transportation route and the expense spent, and the model has been proved feasible.
%K 综合交通运输
%K 路径规划
%K 模糊需求
%K 时间窗&lt
%K br&gt
%K multimodal transportation
%K routing planning
%K fuzzy demands
%K time window
%U http://jdxb.bjtu.edu.cn/CN/abstract/abstract3321.shtml