Manufacturing productivity shifts toward automation and predictive maintenance

Manufacturers are increasingly looking beyond simple machinery investments to drive productivity, focusing instead on systemic constraints such as material flow, maintenance, and skilled labor shortages. Experts suggest that a lack of visibility regarding the capabilities of modern automation, robotics, and artificial intelligence often hinders progress. Because most businesses must integrate new technology with legacy assets incrementally, the industry is shifting toward a need for greater flexibility and interoperability.

To maintain competitiveness, plants are utilizing advanced anomaly detection to ensure machinery operates at peak performance. By using sensor data and predictive models, such as those executed via KNIME workflows, companies can identify impending breakdowns up to ten weeks in advance. These systems allow for tiered alert levels, ranging from automated emails to full system shutdowns, enabling more efficient and customized preventive maintenance programs.