Predictive Quality in Manufacturing is a process of using data-driven analytics to anticipate and prevent quality issues in the production process. It involves collecting data from various sources, such as production machines, sensors, and customer feedback, and using predictive analytics to identify potential quality issues before they occur. Predictive quality in manufacturing helps manufacturers reduce costs, improve product quality, and increase customer satisfaction. It also helps to identify and address potential problems before they become costly and time-consuming to fix. By using predictive analytics, manufacturers can proactively monitor and manage their production processes, ensuring that their products meet customer expectations.
