Simulation on Critical Conditions of Delay Diffusion in Scale-free Logistics Network

Authors

Hongguang Yao, Shanghai University of Engineering Science, Shanghai 201620, China;Follow
Huihui Xiao, Shanghai University of Engineering Science, Shanghai 201620, China;
Hang Zhang, Shanghai University of Engineering Science, Shanghai 201620, China;

Abstract

Abstract: Aiming at the critical condition of delay diffusion in scale-free logistics network, a susceptible-infected-susceptible(SIS) model based on the density of delay nodes is established by mean field theory, and the critical value is solved. By designing the delay diffusion simulation system in logistics network, a virtual network with scale-free attribute is generated, and the critical condition is verified by simulation. The results show that there are a few key nodes with high value in scale-free logistics network. Once these nodes have service obstades, compared with other nodes, it will lead to a larger range of delay and faster delay diffusion rate.

Recommended Citation

Yao, Hongguang; Xiao, Huihui; and Zhang, Hang (2022) "Simulation on Critical Conditions of Delay Diffusion in Scale-free Logistics Network," Journal of System Simulation: Vol. 34: Iss. 4, Article 25.
DOI: 10.16182/j.issn1004731x.joss.20-0845
Available at: https://dc-china-simulation.researchcommons.org/journal/vol34/iss4/25

First Page

901

Revised Date

2021-03-16

DOI Link

https://doi.org/10.16182/j.issn1004731x.joss.20-0845

Last Page

909

CLC

TP391

Recommended Citation

Hongguang Yao, Huihui Xiao, Hang Zhang. Simulation on Critical Conditions of Delay Diffusion in Scale-free Logistics Network[J]. Journal of System Simulation, 2022, 34(4): 901-909.

DOI

10.16182/j.issn1004731x.joss.20-0845