A Transformer-Enhanced Multi-Agent Reinforcement Learning Model for Resilience Optimization in Educational Equipment Manufacturing Supply Chains
INTRODUCTION: Educational equipment manufacturing supply chains are vulnerable to demand fluctuations, equipment failures, logistics disruptions, and cross-node risk propagation, while conventional approaches often separate state prediction from recovery decision-making. OBJECTIVES: This study proposes TMARL-ESCR, a Tr...