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Abstract:
In the rapidly expanding global electric vehicle lithium -ion battery supply chain network (EV LIB SCN), intricate intercontinental and interrelated connections render it susceptible to geopolitical disturbances. The complex supplier-buyer dynamics within this network facilitate the propagation of disruptions, complicating the identification and evaluation of the consequences of geopolitical disruptions. Existing recommendations, grounded in macro -level material flow data, offer limited guidance for EV LIB -associated enterprises in managing such disruptions. To address this gap, this study constructs a meso-level EV LIB SCN incorporating realistic supplier-buyer relationship data among relevant firms. A supply chain network vulnerability (SCNV) index has been designed to quantify the disruption impact. Furthermore, a geopolitical disruption diffusion (GDD) model has been developed to simulate the disruption propagation in two distinct scenarios, i.e., single -region blockade and inter -region blockade. This study broadens the scope of EV LIB SCN investigations from macro- to meso-level analyses, and the evaluation of both direct and indirect impacts of geopolitical disruptions enhances comprehension of geopolitical disruption risks in global supply chain networks.
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COMPUTERS & INDUSTRIAL ENGINEERING
ISSN: 0360-8352
Year: 2024
Volume: 188
7 . 9 0 0
JCR@2022
Cited Count:
SCOPUS Cited Count: 13
ESI Highly Cited Papers on the List: 0 Unfold All
WanFang Cited Count:
Chinese Cited Count:
30 Days PV: 2
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