What problems does it solve?
Industrial companies often lack full control over their production processes. Issues such as improper machine settings are only detected after they cause defective products or reduced efficiency. Traditional monitoring methods make it difficult to quickly identify the root cause of a problem, and testing solutions directly on machines wastes valuable production time.
What is it and what are the benefits?
A Digital Twin is a real-time digital replica of a physical object or process, continuously updated with data from machines and equipment. Through telemetry and real-time data collection, it allows for testing various scenarios and optimizing processes without disrupting operations.
It provides a comprehensive view of production, enabling faster decision-making and problem-solving before they impact results.
Companies can simulate scenarios, optimize workflows, and predict failures, reducing downtime risks, improving forecasting, and cutting operational costs.
How does it work?
A Digital Twin collects data from sensors, machines, and equipment, creating a virtual copy that mirrors real-world production processes. These virtual models of machines or entire production lines allow businesses to test changes before applying them in real-world conditions – minimizing risk and maximizing efficiency.
