2021/04/28 by Kayvan Miri Lavassani, Lavassani, Kayvan Miri, Zachary M. Boyd +5
Business, Management and Accounting · #FOS: Computer and information sciences #FOS: Physical sciences #Physics and Society (physics.soc-ph) #Quality and Supply Management #Social and Information Networks (cs.SI) #Supply Chain Resilience and Risk Management #Sustainable Supply Chain Management
paper · pdf · doi:10.48550/arxiv.2104.14046
openalex publication_date 2021/04/28 · openalex created_date 2022/07/25 · openalex updated_date 2026/07/28
Motivated by the COVID-19 pandemic, this paper explores the supply chain\nviability of medical equipment, an industry whose supply chain was put under a\ncrucial test during the pandemic. This paper includes an empirical\nnetwork-level analysis of supplier reachability under Random Failure Experiment\n(RFE) and Intelligent Attack Experiment (IAE). Specifically, this study\ninvestigates the effect of RFA and IAE across multiple tiers and scales. The\nglobal supply chain data was mined and analyzed from about 45,000 firms with\nabout 115,000 intertwined relationships spanning across 10 tiers of the\nbackward supply chain of medical equipment. This complex supply chain network\nwas analyzed at four scales, namely: firm, country-industry, industry, and\ncountry. A notable contribution of this study is the application of a supply\nchain tier optimization tool to identify the lowest tier of the supply chain\nthat can provide adequate resolution for the study of the supply chain pattern.\nWe also developed data-driven-tools to identify the thresholds for breakdown\nand fragmentation of the medical equipment supply chain when faced with random\nfailures or different intelligent attack scenarios. The novel network analysis\ntools utilized in the study can be applied to the study of supply chain\nreachability and viability in other industries.\n