Constrained Quantum Dispatch for Intelligent Resilient Logistics

Abstract

Modern supply chains require intelligent methods to manage disruptions, uncertain lead times, energy constraints, and complex logistics decisions. This study proposes an integrated framework combining FKF/FKL spectral analysis, digital twins, artificial intelligence, blockchain traceability, and quantum-inspired optimization for resilient and sustainable logistics. FKF/FKL transforms characterize multi-scale lead-time patterns, shifts, and operational perturbations, while digital twins provide synchronized representations of evolving supply-chain states. QUBO support selected problems such as unit-load-device configuration, packing, assignment, and disruption recovery, complemented by classical preprocessing and validation. Energy-aware mobility incorporates battery capacity, solar contribution, and route requirements into logistics decisions. AI enables prediction and risk assessment, while blockchain strengthens provenance and traceability and human-centric controls preserve operational authority. The resulting architecture integrates sensing, spectral analysis, prediction, optimization, verification, and recovery into a unified decision-support cycle for resilient logistics Keywords— Supply chain resilience; Quantum logistics; QUBO optimization; Unit-load-device configuration; FKF transform; Digital twins; Artificial intelligence; Blockchain traceability; Intelligent transportation systems; Sustainable logistics; Energy-aware logistics; Industry 5.0; Disruption management.