QUANTUM-INSPIRED OPTIMIZATION FOR SUSTAINABLE SUPPLY CHAINS: A HYBRID HEURISTIC APPROACH TO MULTI-CRITERIA DECISION MAKING UNDER VOLATILE CONDITIONS

This paper explores the integration of quantum-inspired optimization (QIO) methods into sustainable supply chain management (SCM), particularly under volatile conditions where traditional methods often fail. Through the development of a hybrid heuristic model combining quantum annealing logic with multi-criteria decision-making (MCDM) frameworks, this study enhances adaptability, resilience, and sustainability in complex logistics environments. The proposed model is benchmarked across dynamic variables such as energy efficiency, cost, carbon footprint, and delivery latency using real-time simulation.