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• W4328011337 abstract "This study investigates interdependent supply chain network resilience (ISCNR) in the presence of ripple effects, i.e., the phenomenon that the disruptions at some companies also impact the operation of other companies in the same supply chain network (SCN), and even collapse a large part of the SCN. Some researchers have studied ISCNR considering the ripple effect. However, few of them explore the phenomenon taking into account the influences of network structure and company cooperation. In practice, when a company is at risk of failure, its partner companies in the same ISCN may help it to shed the risk through proper cooperation. In this research, a new model for ISCNR against ripple effects considering company collaboration is proposed. A multi-dimension quantitative framework is also developed to measure ISCNR, which considers three resilience dimensions based on three network performance indicators. Then, with a new ISCN model, we investigate the ISCNR considering company collaboration under random and malicious attacks. The simulation results show that company collaboration can enhance ISCNR against ripple effects, while in some cases, company collaboration may adversely impact ISCNR. This research provides insights on improving supply chain network resilience considering the impact of real-world company collaboration to mitigate the intensity of ripple effects." @default.
• W4328011337 created "2023-03-22" @default.
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• W4328011337 date "2022-12-15" @default.
• W4328011337 modified "2023-10-16" @default.
• W4328011337 title "Resilience Modeling of Interdependent Supply Chain Networks with Company Collaboration Against Ripple Effects" @default.
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• W4328011337 doi "https://doi.org/10.1109/srse56746.2022.10067730" @default.
• W4328011337 hasPublicationYear "2022" @default.
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