A Strategic Framework for Supplier Performance Assessment and Anomaly Detection in High-Tech Supply Chains: Integrating Shared-Resource DEA with Machine Learning

Evaluating supplier performance in high-tech supply chains is challenging because suppliers must allocate shared resources across operational and sustainability-related activities while maintaining resilience under uncertainty. This study develops an integrated decision-support framework that combines two-stage shared-resource data envelopment analysis (DEA) with machine learning for supplier assessment, anomaly detection, and efficiency prediction. Using NVIDIA's semiconductor supply chain as t