Description
Predictive quality analysis uses AI models to forecast potential quality issues before they occur during production. By analyzing historical data, such as material properties, machine performance, and past quality control logs, AI can identify patterns that might lead to defects or failures. This proactive approach allows manufacturers to make adjustments in the production process, reducing the risk of quality issues and ensuring higher product standards.
