Integrating FKF Transform, Artificial Intelligence, and Digital Twins for Adaptive Supply Chains

Abstract

Supply-chain resilience requires coordinated sensing, intelligence, simulation, trusted data, and optimization. This study proposes an integrated architecture combining IoT, AI, Blockchain, Digital Twins, quantum computing, and FKF spectral analysis. IoT captures operational conditions, AI supports prediction, Blockchain strengthens traceability, and Digital Twins evaluate disruption scenarios. Quantum annealing addresses complex logistics decisions, while FKF analysis identifies temporal, spectral, and multiscale patterns. The proposed convergence provides a compact framework for adaptive, sustainable, and resilient logistics management.   Keywords— Artificial Intelligence; Blockchain Integration; Supply Chain Transparency; Traceability; Supply Chain Resilience; Smart Logistics; IoT; Digital Twins; Quantum Optimization; FKF Spectral Analysis.