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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Main Authors: Dong Mu, Xiongping Yue, Huanyu Ren
Format: Article
Language:English
Published: MDPI AG 2021-06-01
Series:Entropy
Subjects:
Online Access:https://www.mdpi.com/1099-4300/23/6/769
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spelling 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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