DIGITAL TWIN IMPLEMENTATION ECONOMIC JUSTIFICATION FOR SUPPLY CHAIN RESILIENCE ENHANCEMENT
Modern supply chains operate under increasing uncertainty, characterized by geopolitical risks, logistics disruptions, and volatile consumer demand. Digital twin technology serves as a tool for creating a virtual model of real supply chains, enabling real-time monitoring, predictive disruption modeling, and logistics process optimization. The study aims to provide an economic justification for digital twin implementation to enhance supply chain resilience. The methodological foundations of the digital twin concept are analyzed in the context of logistics system management, and empirical data on the technology's impact on operational and financial performance are systematized. It is found that digital twins can reduce disruption response time by 35–50%, decrease unplanned downtime by 25– 40%, and improve planning accuracy by 18–30%, collectively generating positive economic effects. The research findings can be applied to develop digital transformation strategies for logistics systems in industrial and commercial enterprises.