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The Role of Artificial Intelligence Technology in Improving the Resilience of Supply Chain During COVID-19

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Advances in Artificial Systems for Medicine and Education V (AIMEE 2021)

Part of the book series: Lecture Notes on Data Engineering and Communications Technologies ((LNDECT,volume 107 ))

Abstract

The outbreak of COVID-19 has posed continuous and huge challenges to the global supply chain. Difficulties in resuming work, border blockade, and sharp decline in market sales have increased the brittleness of the supply chain, which has put forward new and urgent demands on the resilience of the supply chain. In this context, this paper studies the impact of the epidemic on the supply chain, summarizes the thinking of enterprise representatives in typical industries on improving supply chain resilience under the epidemic situation, studies the specific strategies of using artificial intelligence technology to improve supply chain resilience, studies the correlation between supply chain resilience and artificial intelligence technology, analysis of artificial intelligence in improving supply chain resilience mechanism, specific analysis of artificial intelligence through what key technologies to improve supply chain resilience. On the basis, this paper construct artificial intelligence in the supply chain resilience technical framework, and construct a preliminary scheme for the integration of artificial intelligence and supply chain resilience, in order to provide for the outbreak to improve supply chain resilience reference and guiding significance.

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Acknowledgment

This project is supported by Guangxi philosophy and social science planning research project(17FJY014) and Guangxi young and middle-aged teacher’s basic ability enhancement project (2018KY0744).

Author information

Authors and Affiliations

  1. Nanning University Nanning, Nanning, 530200, China

    Zhong Zheng, Genge Zhang & Yanfang Pan

  2. King Mongkut’s Institute of Technology Ladkrabang, Bangkok, 10520, Thailand

    Zhong Zheng

  3. Chongqing University, Chong Qing, 400030, China

    Yun Lin

  4. Shenzhen Zhongsheng Intelligent Technology Co., Ltd., Shenzhen, China

    Yandong He

Authors
  1. Zhong Zheng
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  2. Genge Zhang
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  3. Yun Lin
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  4. Yanfang Pan
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  5. Yandong He
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Corresponding author

Correspondence to Yandong He .

Editor information

Editors and Affiliations

  1. International Center of Informatics and Computer Science, Faculty of Applied Mathematics, National Technical University of Ukraine “Kyiv Polytechnic Institute”, Kyiv, Ukraine

    Zhengbing Hu

  2. Laboratory of Biomechanical Systems, Mechanical Engineering Research Institute of the Russian Academy of Sciences, Moscow, Russia

    Sergey Petoukhov

  3. Halmos College of Arts and Sciences, Nova Southeastern University, Ft. Lauderdale, FL, USA

    Matthew He

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Zheng, Z., Zhang, G., Lin, Y., Pan, Y., He, Y. (2022). The Role of Artificial Intelligence Technology in Improving the Resilience of Supply Chain During COVID-19. In: Hu, Z., Petoukhov, S., He, M. (eds) Advances in Artificial Systems for Medicine and Education V. AIMEE 2021. Lecture Notes on Data Engineering and Communications Technologies, vol 107 . Springer, Cham. https://doi.org/10.1007/978-3-030-92537-6_21

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