Optimization of cold chain multimodal transport path under uncertain conditions
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.
cold chain multimodal transportationuncertain transportation demanduncertain loss ratemulti-objective optimizationroute optimization
NETL
NSTL
万方数据
