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Industry 4.0 Approaches for Supply Chains Facing COVID-19: A Brief Literature Review

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Intelligent Computing and Optimization (ICO 2020)

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 1324))

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Abstract

Widespread disruptions of the COVID-19 pandemic on the performance and planning of global supply chains have become a matter of international concern. While some key supply chains are tasked with the prevention and eventual treatment of the virus, other commercial supply chains must also adapt to issues of shortages, uncertain demand and supplier reselection. This paper provides a brief literature survey into current Industry 4.0 solutions pertinent to COVID-19, and also identifies the characteristics of successful supply chain solutions to the pandemic. In this investigation, it is found that differing technology-enabled supply chain strategies are required for pre-disruption, disruption, and post-disruption phases. Furthermore, a comparison of supply chain success in several nations suggests a need for data transparency, public-private partnerships, and AI tools for effective manufacturing implementation.

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Correspondence to Samuel Reong .

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Reong, S., Wee, HM., Hsiao, YL., Whah, C.Y. (2021). Industry 4.0 Approaches for Supply Chains Facing COVID-19: A Brief Literature Review. In: Vasant, P., Zelinka, I., Weber, GW. (eds) Intelligent Computing and Optimization. ICO 2020. Advances in Intelligent Systems and Computing, vol 1324. Springer, Cham. https://doi.org/10.1007/978-3-030-68154-8_106

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