Abstract
Inspired by the empirical dynamic characteristics of the load of real logistics network, we propose a dynamic cascading failure model against cascading failure, which is more suitable for complex logistics network by adding dynamic factors based on the nonlinear load-capacity model under initial residual capacity load-redistribution strategy. The simulation is executed on the complex logistics network model and the results show that the controllability robustness and economy after cascading failure based on the dynamic cascading failure model is feasible and effective. It can effectively reduce the logistics cost and enhance controllability robustness against cascading failure by adjusting the network cost $e$ and capacity parameter $\gamma $ , so as to balance the controllability robustness and economy for the complex logistics network.
Highlights
The operation of the logistics network is highly dependent on the external environment and is susceptible to the impact of emergencies
From previous discussions, according to the dynamic characteristics and nonlinear characteristics of real logistics network, we propose a dynamic cascading failure model by adding dynamic factors to the cascading failure model composed of nonlinear load-capacity model and initial residual capacity load-redistribution strategy
Through the simulation analysis of controllability robustness and economy after cascading failure, we prove that the proposed dynamic cascading failure model is the optimal one for complex logistics networks
Summary
The operation of the logistics network is highly dependent on the external environment and is susceptible to the impact of emergencies. Kim and Motter [22] demonstrated the feasibility of the nonlinear relationship of load-capacity This breakthrough work was focused on the cascading failure problem of communication and transportation systems based on complex network theory, and proved that the capacity of the nodes of the four real-world networks of aviation, highway, power and Internet routers are nonlinear in their initial loads. The cascading failure model considering the dynamic characteristics and nonlinear characteristics of the real logistics network would improve the rationality of the stage of load distribution after cascading failure, reduce the scale of cascading failure, enhance the controllability robustness and economy of complex logistics network, so as to provide a better solution to the cascading failure problem for complex logistics network.
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