Artificial Intelligence Enabled Predictive Decision Systems for Supply Chain Resilience and Optimization

Authors

  • Ankit Sharma, Priyanshi Joshi

Keywords:

Artificial Intelligence, Predictive Decision Systems, Supply Chain Resilience, Machine Learning, Predictive Analytics, Operational Optimization, Supply Chain Optimization

Abstract

The increasing complexity and unpredictability of global supply chains necessitate theintegration of advanced technologies to maintain operational efficiency and resilience. ArtificialIntelligence (AI) has emerged as a transformative force, enabling predictive decision-making and process optimization. However, existing research largely emphasizes

References

Baryannis, G., Dani, S., & Antoniou, G. (2019). Supply chain risk management and resilience: A literature review. Computers & Industrial Engineering, 137, 106024. https://doi.org/10.1016/j.cie.2019.106024.

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Published

2024-12-31

How to Cite

Ankit Sharma, Priyanshi Joshi. (2024). Artificial Intelligence Enabled Predictive Decision Systems for Supply Chain Resilience and Optimization. Journal of Computational Analysis and Applications (JoCAAA), 33(08), 7460–7472. Retrieved from https://eudoxuspress.com/index.php/pub/article/view/4715

Issue

Vol. 33 No. 08 (2024): JOCAAA

Section

Articles

License

Creative Commons License

This work is licensed under a Creative Commons Attribution 4.0 International License.