Computer Science

Computer Science ›› 2021, Vol. 48 ›› Issue (10): 351-358.doi: 10.11896/jsjkx.200900144

• Interdiscipline & Frontier • Previous Articles    

Study on Co-evolution of Underload Failure and Overload Cascading Failure in Multi-layer Supply Chain Network

LI Shu1, YANG Hua1, SONG Bo2   

  1. 1 School of Electronic and Optical Engineering,School of Microelectronics,Nanjing University of Posts and Telecommunications,Nanjing 210046,China
    2 School of Modern Posts,Nanjing University of Posts and Telecommunications,Nanjing 210003,China
  • Received:2020-09-20 Revised:2021-02-16 Online:2021-10-15 Published:2021-10-18
  • About author:LI Shu,born in 1996,postgraduate.Her main research interests include supply chain network analysis and so on.
    YANG Hua,born in 1982,Ph.D,asso-ciate professor.Her main research inte-rests include complex networks and chaos communications.
  • Supported by:
    National Natural Science Foundation of China(61971240,61401226) and Natural Science Foundation of Hunan Province(2019JJ60024).

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Abstract: The supply chain network is closely related to our lives,and the cascading failure of the supply chain network has always been a hot research topic.This paper proposes a multi-layer supply chain network mixed failure model,which can better simulate the process of real supply chain network collapse and provide a reference for preventing supply chain network collapse.By establishing the supply chain network model of upper-level supplier network overload cascade failure and lower-level retailer network underload failure,the vulnerability of the supply chain network is studied when the upper and lower networks are attacked through different attack strategies.In the case of a certain initial attack ratio,the upper-layer supplier network is more robust than the lower-layer retailer network.Under the same attack ratio,the scale of the network crash when deliberately attacking network nodes is larger than that of random attacks.When the upper-layer supplier network node is initially attacked,the thresholdof network collapse is lower,which is more prone to collapse.This paper verifies the validity of the model and provides a new research model for preventing the collapse of the supply chain network.

Key words: Cascading failure, Multi-layer supply chain network, Overload failure, Underload failure, Vulnerability

CLC Number: 

  • TP311
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