Research on Risk Triggered Dynamic Load Logistics Network Interruption and Repair
In response to the issue of transport stagnation in the logistics system,which is vulnerable to sudden risks,a strat-egy for real-time monitoring and rapid recovery is proposed.A logistics network suitable for quantified load was established based on the characteristics of the logistics business.Additionally,a risk-triggered network state monitoring algorithm was intro-duced,combined with an infectious disease system equation,and a risk diffusion mechanism was established through node topolo-gy weights and risk fluctuations.Based on the diffusion mechanism,considering the impact of risk propagation in the network,node importance was used as a measure to guide the allocation of limited resources in order to realize the restoration algorithm of the logistics network.Finally,a network efficiency index was designed based on shortest path length.An example verifies that maximum recovery time can be reduced by 69.38%,providing valuable insights for shortening network recovery time and reduc-ing delay loss.
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