Proceedings of the 1st International Conference on Artificial Intelligence, Communication, IoT, Data Engineering and Security, IACIDS 2023, 23-25 November 2023, Lavasa, Pune, India

Research Article

Revolutionizing Pandemic-Resilient Supply Chains: The Synergy of Blockchain Technology and Machine Learning

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  • @INPROCEEDINGS{10.4108/eai.23-11-2023.2343220,
        author={Punam  Rattan and Raji Ramakrishnan Nair},
        title={Revolutionizing Pandemic-Resilient Supply Chains: The Synergy of Blockchain Technology and Machine Learning},
        proceedings={Proceedings of the 1st International Conference on Artificial Intelligence, Communication, IoT, Data Engineering and Security, IACIDS 2023, 23-25 November 2023, Lavasa, Pune, India},
        publisher={EAI},
        proceedings_a={IACIDS},
        year={2024},
        month={3},
        keywords={supply chain management (scm) blockchain machine learning covid-19 sustainability},
        doi={10.4108/eai.23-11-2023.2343220}
    }
    
  • Punam Rattan
    Raji Ramakrishnan Nair
    Year: 2024
    Revolutionizing Pandemic-Resilient Supply Chains: The Synergy of Blockchain Technology and Machine Learning
    IACIDS
    EAI
    DOI: 10.4108/eai.23-11-2023.2343220
Punam Rattan1,*, Raji Ramakrishnan Nair1
  • 1: School of Computer Applications, Lovely Professional University, Punjab, India
*Contact email: punam.26558@lpu.co.in

Abstract

COVID-19 pandemic has strongly highlighted the critical need for resilient supply chains that can quickly adapt to demand fluctuations and mitigate risks. It has made the world standstill, similar to a wartime scenario, as observed by experts at Michigan Tech. The lessons learned from this crisis are abundant. This research paper focuses on supply chain management during a pandemic, with a particular emphasis on sustainability. In addition, we delve into the pivotal roles played by Blockchain Technology and Machine Learning in the realm of Supply Chain Management (SCM), especially in pandemic contexts. Our study examines the models employed in SCMs across both developed and developing countries, with a firm commitment to sustainability. In addition, we undertake an in-depth analysis of research papers that explore the combination of Blockchain and Machine Learning technologies in supply chain management systems. This research seeks to provide valuable insights into how supply chains can not only weather crises but also evolve to become more sustainable and efficient.