Exploring the Role of Digital Twin Technologies in Transforming Modern Supply Chain Management

The advent of digital twins (DTs) has improved operational efficiency, sustainability, and predictive analytics, hence transforming the field of supply chain management. This study explores the role of DTs in optimizing supply chain processes, distinguishing them from digital models and shadows by emphasizing bidirectional data flow and real-time synchronization. The study showcases DT applications across a range of sectors, elucidating their revolutionary influence: manufacturing, healthcare, smart cities, education, and next-generation networks. Key supply chain use cases such as demand forecasting, predictive maintenance, supplier performance monitoring, and smart warehousing are analyzed, showcasing the potential of DTs to drive digital transformation. DTs save costs and enhance decision-making by combining state-of-the-art technologies like automation, the Internet of Things (IoT), and AI to offer real-time monitoring, predictive analytics, and operational efficiency. The integration of DT into Supply Chain Management is thoroughly examined in this article.