自动化码头多级作业超网络延误传导特性研究

不确定环境下自动化集装箱码头(自动化码头)多级作业延误现象频发，随着时间的推移， 延误会在多级作业间传导，形成“连锁”效应，严重影响港口的整体效益。为了提升企业应对作业延误的能力，依据超网络理论和传播动力学理论，构建自动化码头多级作业超网络。结合小世界网络理论的网络拓扑特征，从特征路径长度、聚类系数及SIS(易感-感染-易感模型)模拟3方面对延误在多级作业超网络中的传导速度、传导广度以及传导能力进行讨论与数值模拟分析。结果表明，较短的传导路径和较大的聚类系数会使不确定事件带来的延误在多级作业超网络中更快和更广地传导，聚类系数较小的故障节点传导扩散会受聚类特性抑制。多级作业超网络的传导 能力随初始故障节点数量的增加而增加，随修复概率增加而减少。本文有利于企业管理者主动应对不确定事件带来的延误，提升港口的运作效率。

Delay Propagation Characteristics of Multilevel Handlings Hypernetwork at Container Terminals

The multilevel handlings delay occurs frequently in uncertain environments at automated container terminals (referred to as automated terminals). The delay will propagate among the multiple handlings over time, resulting a "chain" effect that will have a significant impact on the overall efficiency of the port. To improve the ability of enterprises to cope with handlings delays, a multilevel handlings hypernetwork is constructed based on the theory of hypernetwork and propagation dynamics. Combined with the topology characteristics of the small-world network theory, the propagation speed, propagation breadth, and propagation capacity of delay in multilevel handling hypernetworks are discussed and numerically simulated from three perspectives: characteristic path length, clustering coefficient, and SIS simulation. The results show that the shorter characteristic path length and larger clustering coefficient will make the delay propagated more quickly and widely, the fault nodes with smaller clustering coefficients will be restrained by clustering characteristics. The network's propagation capacity is directly proportional to the initial fault nodes' number and inversely proportional to the repair probability. This study is beneficial for enterprise managers to actively respond to the delay caused by uncertain events and improve the operation efficiency of ports.