Abstract:

The resilience of maritime supply chain guarantees the transportation efficiency of the global industry and supply chain. The uncertainty factor of shipping makes container liner transportation often delayed， which not only causes the increase of economic cost in transportation but seriously affects the smooth operation of the maritime supply chain. In order to reduce the total cost of the disruption recovery process and improve the supply chain resilience of container liner transportation， it focuses on the liner disruption recovery problem and considers the difference in the demand for container loading and unloading in different ports， innovatively propose a time-band network model， and designs two targeted network redundancy elimination strategies in this paper. Through numerical simulation of an actual container liner route， the model's validity is verified， and the effect of the redundancy elimination strategies is analyzed. The analysis results show that the disruption recovery scheme considering the difference in the demand of container loading and unloading in different ports can further reduce the propagation of disruption effects， reduce the total cost by at least 16%， and significantly reduce the number of containers affected by disruption at higher levels. At the same time， the disruption recovery model based on the redundancy elimination time-band network enables more efficient acquisition of lower-cost disruption recovery solutions. The research results can provide decision support for the maritime container liner transportation industry to recover from disruption， reduce the degree of delay and transportation cost after the disruption， and improve the resilience of the container liner transportation supply chain.

Key words: liner disruption recovery, container transportation resilience, redundancy elimination strategy, time-band network