Digital Twins in Supply Chain Operations Bridging the Physical and Digital Worlds using AI.

Abstract

Digital Twins (DTs) are revolutionizing supply chain operations by creating dynamic digital replicas of physical assets, processes, and systems. This paper explores the integration of Artificial Intelligence (AI) with Digital Twins to bridge the physical and digital worlds in supply chain management. By leveraging AI, Digital Twins can analyze real-time data, predict future events, and optimize decision-making processes. This synergy enhances operational efficiency, reduces costs, and improves responsiveness to disruptions. We delve into the architecture of AI-driven Digital Twins, highlighting their components, data flow, and interaction mechanisms. Case studies across different industries demonstrate the practical applications and benefits of this technology. The discussion includes challenges such as data privacy, integration complexity, and the need for standardized protocols. Future research directions focus on advancing AI algorithms for better predictive capabilities and creating more robust, scalable Digital Twin frameworks. This paper underscores the transformative potential of AI-enhanced Digital Twins in creating agile, resilient, and intelligent supply chains.