Research On Multimodal Transportation Route Optimization Problem In Low Carbon Environment

With the rapid development of electronic commerce and “Internet+” powerful propulsion,logistics as a successor and server of commodity circulation,plays an important role in improving socioeconomic benefits.According to the characteristics of different modes of transportation,Multimodal transportation can reasonably arrange the convergence of transportation modes,which can not only improve the efficiency of logistics,but also have a great impact on socioeconomic benefits.Therefore,in today’s increasingly serious ecological problems,the research of multimodal transportation path optimization under low carbon environment has an important practical significance and theoretical significance.In the research of existing multimodal transportation route optimization,the rate of damage and abnormal working time on route selection are less considered.At the same time,carbon trading price does not consider the impact of supply and demand.However,in the pursuit of quality,efficiency and utility of modern logistics,the damage of goods during transport has occurred frequently,at the same time,if the transfer time at the transfer nodes is abnormal,the multimodal transport operator will incur an additional cost in order to ensure the effectiveness.In addition,the existing research on the transformation of multi-objectives,most papers assign weights according to the importance of the factors with a certain degree of subjectivity.Therefore,considering the practical impact damage rate,based on the theory of system engineering,using ENTROPY TOPSIS method and Genetic Algorithm from the perspective of multimodal transport operator established multi-objective model and single-objective model of multimodal transportation path optimization in low carbon environment.In order to eliminate the influence of subjective factors on the assignment of weights,for multi-objective model,use judgment matrix of evaluation indicators to determine the index weight for the multi-objective model,and take the ENTROPY TOPSIS method apply to the Genetic Algorithm to solve multi-objective weights allocation problem,the closeness of the individual and the ideal solution is used as fitness function to select the advantages and disadvantages of the individual.Through the comparative and analysis of the set of transport scheme under the constraint of different damage rate,verify the rationality of algorithm design.For the single-objective model,in addition to probably existence of inventory cost in advance or penalty cost delay in the terminal of transportation,the cost of time window is also considering the additional transshipment costs due to abnormal working hours at the transit nodes.Three cases as carbon tax,variable carbon trading prices,and carbon tax in the context of carbon trading are considered in calculating the cost of carbon emissions.Then,a single-objective route optimization model for minimizing the total cost is established,and the corresponding Genetic Algorithm is designed to numerical simulation.Finally,analyzed the effects of different carbon tax,the quota of carbon emission and time window on routes selection,validated the effectiveness and practicability of the model and algorithm.The model and method proposed in this dissertation,provide reasonable basis for decision-making for multimodal transport operator in a complex environment.It has important practical significance and theoretical significance to improve the socioeconomic benefits and the sustainable development of the environment.