ENHANCING SUPPLY CHAIN RESILIENCE : RIME-CLUSTERING AND ENSEMBLE DEEP LEARNING STRATEGIES FOR LATE DELIVERY RISK PREDICTION
Background: Global supply chains are confronted with the challenge of ensuring on-time deliveries while simultaneously enhancing supply chain resilience. Conventional methods aim to address the complexities of modern supply chains, promoting the transition to intelligent and data-driven strategies. Methods: This research represents an innovative methodology for predicting the risk of late deliveri