不确定条件下的冷链多式联运路径优化
Optimization of cold chain multimodal transport path under uncertain conditions
张瑞 1黄福友 2王剑波3
作者信息
- 1. 西华大学 汽车与交通学院,四川 成都 610039
- 2. 四川省交通运输发展战略和规划科学研究院,四川 成都 610041
- 3. 四川交通职业技术学院,四川 成都 611130
- 折叠
摘要
为了降低冷链多式联运成本及碳排放,并提升客户满意度,路径优化至关重要.以冷链多式联运为研究对象,考虑运输需求的不确定性和损耗率的动态变化,建立基于运输总成本、碳排放和客户满意度的多目标冷链多式联运路径优化模型.依托机会约束规划理论,将模型清晰化,并设计改进粒子群算法来求解算例.结果表明:该模型和算法可根据决策者对运输需求和损耗率的要求,在多式联运网络中快速地选出满足要求的运输路线.
Abstract
To reduce the cost of cold chain multimodal transportation as well as carbon emissions and improve customer satisfaction,path optimization is crucial.Taking cold chain intermodal transportation as the research object,the article considers the uncertainty of transportation demand and the dynamic change of loss rate and establishes a multi-objective cold chain intermodal transportation path optimization model based on the total transportation cost,carbon emission and customer satisfaction.Relying on opportunity-constrained planning theory,the model was clarified and an improved particle swarm algorithm was designed to solve the arithmetic cases.The results showed that the model and algorithm could quickly select the transportation routes that satisfy the requirements in the multimodal transportation network according to the decision maker's requirements on transportation demand and loss rate.
关键词
冷链多式联运/不确定运输需求/不确定损耗率/多目标优化/路径优化Key words
cold chain multimodal transportation/uncertain transportation demand/uncertain loss rate/multi-objective optimization/route optimization引用本文复制引用
出版年
2024
国家科技期刊平台
NSTL
万方数据