Can you share an example of how you've used predictive maintenance to reduce downtime and improve equipment reliability? What advice would you give to others?

Predictive maintenance uses data analysis and technology to forecast equipment failures, enabling proactive servicing. This strategy reduces downtime and boosts equipment reliability, thereby enhancing productivity. For instance, a manufacturing facility employed IoT sensors and data analytics to monitor machinery performance in real-time. By tracking parameters like temperature and vibration, they gained insights into equipment health, leading to improved operational efficiency and profitability.