Automated Supply Chain Risk Management with AI

Authors

  • Dr. François Garnier Professor of Geomatics Engineering, Université de Montréal, Canada Author

Keywords:

Automated Supply Chain, Risk Management, AI

Abstract

Supply chains are increasingly complex systems within a rapidly changing environment. As a result, organizations are vulnerable to a myriad of risks, from geopolitical and economic to social and environmental risks, and many others. Organizations today are, therefore, presented with a constantly expanding list of threats that pose a danger to the achievement of their strategic goals. The development and practice of risk management strategies are of paramount importance to any company that is susceptible to the negative impacts of a potential disruption. Disruptions are now more frequent and severe than in the past and are capable of creating long-term damage. Therefore, the potential benefits for a company due to an improved understanding of its supply chain risks lead to operational resilience.

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References

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Published

02-12-2023

How to Cite

[1]
D. F. Garnier, “Automated Supply Chain Risk Management with AI”, Distrib Learn Broad Appl Sci Res, vol. 9, pp. 423–437, Dec. 2023, Accessed: Nov. 14, 2024. [Online]. Available: https://dlabi.org/index.php/journal/article/view/178

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