Enhancing Resilience of Interdependent Supply Chain Networks Against Delay-Time Cascading Failures With Recovery Resource Allocation

The growing interdependency between physical and cyber-supply networks makes it possible for disruptions to trigger cascading failures with a mix of structure failures and function failures. There are studies that proposed recovery strategies to improve the resilience of interdependent supply chain networks (ISCNs). However, they hardly ever consider the impacts of real-world failure delay time and recovery resource allocation on ISCN resilience. In this article, a delay-time mixed cascading failure (MCF) model is first proposed to describe the disruption propagation process in ISCNs. Then, three common boundary node-based recovery strategies are implemented in ISCNs subject to MCFs, and the recovery sequence of network nodes is optimized based on efficient resource allocation. Finally, through case studies on a real-life supply chain network and three artificial networks, the effectiveness of recovery strategies is evaluated by using two resilience-based metrics from the perspectives of network function and network structure. Moreover, the impacts of important tunable parameters on ISCN resilience are examined. The experimental results demonstrate that the proposed recovery strategies are superior to traditional recovery strategies. This study provides insights for future investment decision-making toward the enhancement of ISCN resilience with limited recovery resources.

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Publication Details

Journal
IEEE Transactions on Reliability
Published
2024-11-11
DOI
https://doi.org/10.1109/tr.2024.3485247
Citations
16
Primary Topic
Supply Chain Resilience and Risk Management
Type
article
Field-Weighted Citation Impact
8.87

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article

Enhancing Resilience of Interdependent Supply Chain Networks Against Delay-Time Cascading Failures With Recovery Resource Allocation

Peirui Qiao, Jian Zhou, Fengxia Zhang, Yizhong Ma
16 citations
IEEE Transactions on Reliability
Supply Chain Resilience and Risk Management
8.87
article

Enhancing Resilience of Interdependent Supply Chain Networks Against Delay-Time Cascading Failures With Recovery Resource Allocation

Peirui Qiao, Jian Zhou, Fengxia Zhang, Yizhong Ma
article en
16 citations

Abstract

The growing interdependency between physical and cyber-supply networks makes it possible for disruptions to trigger cascading failures with a mix of structure failures and function failures. There are studies that proposed recovery strategies to improve the resilience of interdependent supply chain networks (ISCNs). However, they hardly ever consider the impacts of real-world failure delay time and recovery resource allocation on ISCN resilience. In this article, a delay-time mixed cascading failure (MCF) model is first proposed to describe the disruption propagation process in ISCNs. Then, three common boundary node-based recovery strategies are implemented in ISCNs subject to MCFs, and the recovery sequence of network nodes is optimized based on efficient resource allocation. Finally, through case studies on a real-life supply chain network and three artificial networks, the effectiveness of recovery strategies is evaluated by using two resilience-based metrics from the perspectives of network function and network structure. Moreover, the impacts of important tunable parameters on ISCN resilience are examined. The experimental results demonstrate that the proposed recovery strategies are superior to traditional recovery strategies. This study provides insights for future investment decision-making toward the enhancement of ISCN resilience with limited recovery resources.

IEEE Transactions on ReliabilityVol. 74(2)
Shandong University of Technology (CN), Nanjing University of Science and Technology (CN)
National Natural Science Foundation of China, China Postdoctoral Science Foundation, Natural Science Foundation of Jiangsu Province
Openalex Percentile: Top 2%
Supply Chain Resilience and Risk Management
8.87
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Enhancing Resilience of Interdependent Supply Chain Networks Against Delay-Time Cascading Failures With Recovery Resource Allocation — Peirui Qiao, Jian Zhou, et al. · IEEE Transactions on Reliability (2024) | TGRS Research Map | TGRS