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The Application of Data-Driven Technologies to Enhance Supply Chain Resilience in the Context of COVID-19
Author(s)
Zheng, Zhong
Lin, Yun
Li, Liwei
Lu, Liuqing
Pan, Yanfang
Date Issued
January 1, 2021
Type
Conference Paper
Abstract
The sudden outbreak of COVID-19 has wreaked havoc on global supply chains. Fortunately, digital drive technology can improve supply chain resilience. This paper is based on literature review to research the impact of COVID-19 to supply chain, to research the interplay of supply chain resilience and data-driven technology, focuses on the operation mechanism of data-driven technology (digital twin, blockchain, big data) and integration them together to enhance the resilience of supply chain. This paper try to presents an effective perspective of supply chain resilience by data-driven technology, and it can provide some reference and guidance for improving the resilience of supply chain during and after the COVID-19.
Citation
Lecture Notes on Data Engineering and Communications Technologies, 82, 238-253, 2021