Abstract
Multimodal transportation has improved the effectiveness and efficiency of the transport and logistics industry. Unifying a transport unit and selecting a reasonable transport plan dramatically save both time and cost of delivery. Considering that time schedules exist in marine and airline logistics, more and more focus on the sustainability of the transport industry and the special need time-sensitivities cargos, this paper will establish an optimization model with the goal of minimizing the total cost of transportation, which is the combination of transport cost, time efficiency and consideration of carbon emission. The genetic algorithm will be used to solve the problem in this article. The effectiveness of this model is proved to be effective through the application of the case study, and the study results can provide support in decisioning a multimodal transport plan.
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