Optimization of liner transportation network considering port congestion under public health emergencies

Public health emergencies have caused serious harm to the global trade supply chain, increased the uncertainty of container transportation demand in shipping, and brought great inconvenience to port operations, thus affecting the transportation efficiency of container liner transportation. In this paper, the influence of public health emergencies on liner transportation cost and transportation market is fully considered, and the liner transportation network model with port congestion is constructed, and the PSO algorithm is used to solve the optimization model. On this basis, using the actual data of a liner's port jump under the background of COVID-19 epidemic in 2021 as the research object, the proposed model is verified, and finally the advantages and disadvantages of three heuristic algorithms and CPLEX are compared, and the robustness of the model is analyzed. The results show that PSO algorithm can provide effective calculation results for practical cases, especially in the application of the best combination of different recovery strategies. Convergence experiments and sensitivity analysis experiments show that the proposed optimization model has good accuracy and robustness for liner transportation network optimization under public health emergencies.