A digital twin in manufacturing is a digital replica of a physical machine, production line, or entire factory that simulates real-world performance using real-time data. It enables predictive analytics, process optimization, and remote monitoring.
By integrating IoT sensors, AI, and cloud computing, digital twins help manufacturers analyze machine behavior, detect inefficiencies, and test process improvements before implementation. This reduces downtime, improves quality control, and enhances operational efficiency.
The adoption of digital twins is a cornerstone of Industry 4.0, enabling manufacturers to create smart factories where virtual models continuously update based on real-time performance data, allowing for proactive decision-making and continuous process improvement.