风险触发的动态负载物流网络中断和修复研究
Research on Risk Triggered Dynamic Load Logistics Network Interruption and Repair
李冰 1刘琪 1朱静2
作者信息
- 1. 武汉理工大学 经济学院,湖北 武汉 430070
- 2. 南京航空航天大学自动化学院,江苏南京211106;安徽建筑大学智能建筑与建筑节能安徽省重点实验室,安徽合肥230022
- 折叠
摘要
针对物流系统极易受突发风险影响而出现运输停滞的问题,提出实时监测、快速恢复的策略,根据物流业务特点构建适用于量化负载的物流网络,结合传染病系统方程提出风险触发的网络状态监测算法,通过节点拓扑权重和风险波动建立风险扩散机制.基于扩散机制考虑风险在网络中传播的影响,以节点重要性为衡量指标指导限定资源的分配,从而实现物流网络的恢复算法.最后,依据最短路径长度设计了网络效率指标,通过算例验证了该算法最高可将恢复时间缩短69.38%,对缩短网络恢复时间、降低延误损失具有参考意义.
Abstract
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.
关键词
物流风险/修复策略/传染病模型/物流网络/复杂网络Key words
logistics risk/repair strategy/infectious disease model/logistics network/complex network引用本文复制引用
基金项目
国家自然科学基金项目(72004174)
智能建筑与建筑节能安徽省重点实验室开放课题资助项目(IBES2021KF12)
出版年
2024
NETL
NSTL
万方数据