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Review Open access Aug 2026

Multi-Scale Supply-Chain Intelligence through AI, FKF Spectral Analysis, and Quantum Optimization

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. · 0 citations
Open access Aug 2026

An Integrated AI–FKF Framework for Multi-Scale Supply-Chain Risk Prediction and Mitigation

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. · 0 citations
Open access Aug 2026

Toward Intelligent Supply-Chain Resilience: An AI-Driven Framework for Risk Prediction and Mitigation

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. · 0 citations

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