Ten-tier and multi-scale supply chain network analysis of medical equipment: random failure & intelligent attack analysis
Ten-tier and multi-scale supply chain network analysis of medical equipment: random failure & intelligent attack analysis
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DOI：
10.1080/00207543.2022.2152892
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发表时间：
2021-04
影响因子：
9.2
通讯作者：
K. Lavassani;Z. Boyd;B. Movahedi;Jason Vasquez
中科院分区：
文献类型：
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作者：
K. Lavassani;Z. Boyd;B. Movahedi;Jason Vasquez
受COVID-19疫情影响，本报告探讨医疗设备的供应链可行性，该行业的供应链在疫情期间受到严峻考验。本文包括一个经验的网络级分析供应商的可达性随机故障实验（RFE）和智能攻击实验（IAE）。具体而言，本研究调查了RFE和IAE在多个层次和尺度上的影响。全球供应链数据是从大约45，000家公司中挖掘和分析的，这些公司拥有大约115，000个相互交织的关系，跨越医疗设备后向供应链的10个层次。这个复杂的供应链网络进行了分析，在四个尺度，即：企业，国家-行业，行业和国家。本研究的一个显着的贡献是应用供应链层优化工具，以确定供应链的最低层，可以提供足够的解决方案的供应链模式的研究。我们还开发了数据驱动工具，以识别医疗设备供应链在面临随机故障或不同智能攻击场景时的故障和碎片化阈值。研究中使用的新型网络分析工具可以应用于其他行业的供应链可达性和生存能力的研究。
Motivated by the COVID-19 pandemic, this paper explores the supply chain viability of medical equipment, an industry whose supply chain was put under a crucial test during the pandemic. This paper includes an empirical network-level analysis of supplier reachability under Random Failure Experiments (RFE) and Intelligent Attack Experiments (IAE). Specifically, this study investigates the effect of RFE and IAE across multiple tiers and scales. The global supply chain data was mined and analysed from about 45,000 firms with about 115,000 intertwined relationships spanning across 10 tiers of the backward supply chain of medical equipment. This complex supply chain network was analysed at four scales, namely: firm, country-industry, industry, and country. A notable contribution of this study is the application of a supply chain tier optimisation tool to identify the lowest tier of the supply chain that can provide adequate resolution for the study of the supply chain pattern. We also developed data-driven-tools to identify the thresholds for breakdown and fragmentation of the medical equipment supply chain when faced with random failures or different intelligent attack scenarios. The novel network analysis tools utilised in the study can be applied to the study of supply chain reachability and viability in other industries.