碳排放限制下的冷藏集装箱多式联运路径优化

Optimization of Multimodal Transport Paths for Refrigerated Containers Under Carbon Emission Restriction

为了降低碳排放限制下的冷藏集装箱多式联运成本,实现节能减排的目的,高效的路径选择至关重要.该文基于碳排放限制的视角,针对多式联运网络中铁路和水路运输具有发班时间限制,以及冷藏集装箱需要考虑制冷费用、货损货差的特点,建立了在碳排放限制下以总成本最低为目标的优化模型.构建总成本时不仅考虑了运输费用和转运费用,还考虑了受发班时间影响而动态变化的冷藏费用和货损费用.设计了遗传算法求解,并进行了算例分析.结果表明:通过该模型和算法,可根据决策者的要求快速地选出成本最少的运输方案,为决策者提供决策支持.

To cut the multimodal transportation cost of refrigerated containers under carbon e⁃mission restriction,save energy and reduce carbon emission accordingly,efficient path selec⁃tion is essential.From the perspective of carbon emission limit,based on the points that in a multimodal transport network,the railway and waterway transport modes are restricted by scheduling timetables and the refrigerated containers involve cooling costs,cargo damages and carbon emissions,a path optimization model was established with the lowest total cost.All the costs of transportation,transshipment,refrigeration and cargo damage,dynamically changing with the scheduling timetable,were considered.In addition,a genetic algorithm was designed and applied to example analyses.The results show that,the proposed model and algorithm can quickly select the transportation plan with the least cost according to the requirements of the decision maker,thus providing a useful decision support.