Digital Twins

About

A digital twin is a data-driven virtual representation of real-world entities and processes. It synchronizes with physical counterparts at a specified frequency, enhancing decision-making and operations through simulation, prediction, and optimization. Digital twins are powered by integration, built on data, and guided by domain knowledge. They transform businesses by accelerating holistic understanding and continuous improvement. In supply chains, digital twins optimize operations by simulating scenarios, predicting equipment failures, and enhancing predictive maintenance. They improve decision-making with real-time visibility into inventory and logistics processes. Types include product, process, and system twins, each focusing on different aspects of supply chain management. Technologies like IoT and AI are crucial for their operation, providing real-time data and insights for optimized performance and risk management.