A REVIEW ON AIRBORNE INTELLIGENCE: AI-ENABLED SUPPLY CHAIN STRATEGIES FOR THE INDIAN AIR FORCE (IAF)
Keywords:
Indian Air Force, AI logistics, predictive maintenance, spares optimization, airlift routing, digital twin, reinforcement learning, MRO, MIL/defence supply chain, ACE.Abstract
Air power depends on logistics excellence. For the Indian Air Force(IAF), dispersed basing, high-tech platforms, volatile demand for spares, andcontested electromagnetic/cyber environments raise the bar for supplychain performance. This review synthesizes advances in artificial intelligence(AI) and data-centric methods that can transform
References
Christopher, M. (2016). Logistics & Supply Chain Management (5th ed.). Pearson Education.
Jardine, A. K. S., Lin, D., & Banjevic, D. (2006). A review on machinery diagnostics and prognostics implementing condition-based maintenance. Mechanical Systems and Signal Processing, 20(7), 14831510.
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Published
2024-08-27
How to Cite
Gagan Bhayana. (2024). A REVIEW ON AIRBORNE INTELLIGENCE: AI-ENABLED SUPPLY CHAIN STRATEGIES FOR THE INDIAN AIR FORCE (IAF) . Journal of Computational Analysis and Applications (JoCAAA), 33(2), 1782–1793. Retrieved from https://www.eudoxuspress.com/index.php/pub/article/view/3560
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