Robustness of Cyber-Physical Supply Networks in Cascading Failures
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....
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Online Access: | https://www.mdpi.com/1099-4300/23/6/769 |
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doaj-ceb7c2aba4b34eda8428905a34e6b6202021-07-01T00:32:21ZengMDPI AGEntropy1099-43002021-06-012376976910.3390/e23060769Robustness of Cyber-Physical Supply Networks in Cascading FailuresDong Mu0Xiongping Yue1Huanyu Ren2School of Economics and Management, Beijing Jiaotong University, Beijing 100044, ChinaSchool of Economics and Management, Beijing Jiaotong University, Beijing 100044, ChinaSchool of Economics and Management, Beijing Jiaotong University, Beijing 100044, ChinaA 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.https://www.mdpi.com/1099-4300/23/6/769robustnesscascading failurecyber-physical supply networksunderloadoverload |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Dong Mu Xiongping Yue Huanyu Ren |
spellingShingle |
Dong Mu Xiongping Yue Huanyu Ren Robustness of Cyber-Physical Supply Networks in Cascading Failures Entropy robustness cascading failure cyber-physical supply networks underload overload |
author_facet |
Dong Mu Xiongping Yue Huanyu Ren |
author_sort |
Dong Mu |
title |
Robustness of Cyber-Physical Supply Networks in Cascading Failures |
title_short |
Robustness of Cyber-Physical Supply Networks in Cascading Failures |
title_full |
Robustness of Cyber-Physical Supply Networks in Cascading Failures |
title_fullStr |
Robustness of Cyber-Physical Supply Networks in Cascading Failures |
title_full_unstemmed |
Robustness of Cyber-Physical Supply Networks in Cascading Failures |
title_sort |
robustness of cyber-physical supply networks in cascading failures |
publisher |
MDPI AG |
series |
Entropy |
issn |
1099-4300 |
publishDate |
2021-06-01 |
description |
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. |
topic |
robustness cascading failure cyber-physical supply networks underload overload |
url |
https://www.mdpi.com/1099-4300/23/6/769 |
work_keys_str_mv |
AT dongmu robustnessofcyberphysicalsupplynetworksincascadingfailures AT xiongpingyue robustnessofcyberphysicalsupplynetworksincascadingfailures AT huanyuren robustnessofcyberphysicalsupplynetworksincascadingfailures |
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1721348327924039680 |