Global supply chains now fail in coupled ways: demand shocks travel with lead-time resonance, cyber events travel with physical delays, and energy-system constraints travel with freight capacity. Artificial intelligence is widely proposed as the instrument that turns those couplings into forecasts and then into mitigat...
S. S, Shinde S. M.· International Journal of Cre...· 0 citations
Global supply chains are increasingly exposed to disruptions arising from geopolitical instability, cyber threats, climate events, transportation constraints, and interconnected operational dependencies. This study develops an integrated framework for AI-driven supply-chain risk prediction and mitigation by combining a...
S. S, Shinde S. M.· International Journal of Cre...· 0 citations
The increasing complexity and interdependence of global supply networks require more proactive approaches to disruption prediction and resilience management. This paper proposes a conceptual AI-enabled PREDICT–MITIGATE framework integrating machine learning, IoT sensing, digital twins, blockchain traceability, intellig...
S. S, Shinde S. M.· International Journal of Cre...· 0 citations
A convergent supply-chain architecture is proposed by integrating Digital Twins with Artificial Intelligence (AI), Blockchain, Internet of Things (IoT), quantum computing, and FKF spectral analysis to address the growing complexity, uncertainty, and disruption risks in modern logistics. Digital Twins enable real-time v...
S. A., Shinde S. M., H. M.· International Journal of Cre...· 0 citations
Future work must prioritize real-time fusion of connected-vehicle and smart-infrastructure data streams, construction of scalable multi-resolution Digital Twin environments that span both supply chains and urban mobility networks, development of trustworthy AI models for predictive and prescriptive control, and computa...
S. A., Shinde S. M., H. M.· International Journal of Cre...· 0 citations
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