Robustness of Cyber-Physical Supply Networks in Cascading Failures.
cascading failure
cyber-physical supply networks
overload
robustness
underload
Journal
Entropy (Basel, Switzerland)
ISSN: 1099-4300
Titre abrégé: Entropy (Basel)
Pays: Switzerland
ID NLM: 101243874
Informations de publication
Date de publication:
18 Jun 2021
18 Jun 2021
Historique:
received:
14
05
2021
revised:
11
06
2021
accepted:
15
06
2021
entrez:
2
7
2021
pubmed:
3
7
2021
medline:
3
7
2021
Statut:
epublish
Résumé
A cyber-physical supply network is composed of an undirected cyber supply network and a directed physical supply network. Such interdependence among firms increases efficiency but creates more vulnerabilities. The adverse effects of any failure can be amplified and propagated throughout the network. This paper aimed at investigating the robustness of the cyber-physical supply network against cascading failures. Considering that the cascading failure is triggered by overloading in the cyber supply network and is provoked by underload in the physical supply network, a realistic cascading model for cyber-physical supply networks is proposed. We conducted a numerical simulation under cyber node and physical node failure with varying parameters. The simulation results demonstrated that there are critical thresholds for both firm's capacities, which can determine whether capacity expansion is helpful; there is also a cascade window for network load distribution, which can determine the cascading failures occurrence and scale. Our work may be beneficial for developing cascade control and defense strategies in cyber-physical supply networks.
Identifiants
pubmed: 34207235
pii: e23060769
doi: 10.3390/e23060769
pmc: PMC8235700
pii:
doi:
Types de publication
Journal Article
Langues
eng
Subventions
Organisme : National Natural Science Foundation of China
ID : 71473013
Organisme : Fundamental Research Funds for the Central Universities
ID : 2019YJS072
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