Leveraging Digital Twins for Real-time Supply Chain Visibility and Decision-Making

Global supply chains today are characterized by increasing complexity, volatility, and uncertainty. Traditional supply chain systems often struggle to provide timely insights, leading to inefficiencies and vulnerability to disruptions. The COVID-19 pandemic exposed significant weaknesses in supply chain visibility, accelerating the adoption of digital technologies to enhance resilience and agility (Ivanov & Dolgui, 2020). Among these technologies, Digital Twin solutions have emerged as a transformative approach, enabling virtual replicas of supply chain assets, processes, and networks that integrate real-time data for continuous monitoring, simulation, and predictive analytics. This paper explores the role of digital twins in supply chain management, examining their architecture, applications, benefits, and challenges. The study also presents examples of cases and discusses future trends that position digital twins as critical enablers of next-generation supply chain visibility and decision-making.