DOI: 10.11908/j.issn.0253-374x.21011

作者:

作者单位: 1.同济大学 道路与交通工程教育部重点实验室，上海 201804;2.上海海事大学 交通运输学院，上海 201306;3.中铁第一勘察设计院集团有限公司，陕西 西安 710043


作者简介: 鲁 玉（1997—），男，博士生，主要研究方向为多式联运组织与优化。E-mail： luyu07@tongji.edu.cn


通讯作者:

中图分类号: U29


基金项目: 上海市科技创新行动计划（19692105400）




Multi-Objective Chance-Constrained Programming of Railway Cold Chain Logistics
Author:

Affiliation: 1.Key Laboratory of Road and Traffic Engineering of the Ministry of Education， Tongji University， Shanghai 201804， China;2.College of Transport and Communications， Shanghai Maritime University， Shanghai 201306， China;3.China Railway First Survey and Design Institute Group Co. Ltd.， Xi’an 710043， China


Fund Project:




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摘要:以运输网络总成本、碳排放量和货损率最低为目标，建立了随机需求、运能限制的铁路冷链物流网络优化模型，采用机会约束规划理论将模型进行确定性转化，设计了自适应遗传?模拟退火算法（A?SAGA），通过MATLAB仿真计算最优冷链物流运输方案集，并对运价补贴、列车旅速、冷链货物品类进行灵敏度分析。结果表明，在同时考虑以上3个冲突目标下，当采取5%的运价补贴时，或仅提高列车旅速至70 km?h^-1时，铁路市场份额的提升效果明显；不同基础设施条件下可灵活采用这两种方式；对运输时间敏感程度不同的货物直接影响货损率的变化以及铁路市场份额的初始值。



Abstract:Aimed at the lowest total cost， carbon emission， and freight loss rate of transportation network， an optimization model of railway cold chain logistics network with stochastic demand and transportation capacity constraints was established. The model is transformed deterministically using the chance-constrained programming theory， and an adaptive genetic-simulated annealing algorithm （A-SAGA） is designed. The optimal cold chain logistics transportation scheme set is obtained by MATLAB simulation calculation. The sensitivity analysis of freight subsidy， train travel speed and freight category are conducted. The simulation results show that under the multiple conflicting objectives of considering transportation costs， carbon emissions， and cargo loss rates， rail cold chain market share can be improved significantly when 5% of the freight subsidy is applied， or only 70 km?h^-1 of train travel speed is increased. These two methods can be used flexibly under different infrastructure conditions. Cargo with varying degrees of sensitivity to transit time directly affects the change in the rate of cargo loss and the initial value of rail market share.





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