Abstract

Due to the obvious difference of resources distribution and economic development between different regions, the railway container flow in China is seriously unbalanced in space and time, which leads to the problem of empty railway container transportation. Therefore, this paper will focus on the optimization of railway empty container transportation scheme. Firstly, the multi-objective optimization model is determined by considering the cost of railway companies and the satisfaction of shippers, then, the master objective method is adopted and Gurobi is combined to solve the actual case, finally, the conclusion is drawn, example verification proves that the model and algorithm are feasible. In addition, taking into account the interests of both buyers and sellers and using the main objective method to solve the model are not involved in the previous similar papers. In general, the starting point and the algorithm have a certain innovation.

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