Unplanned downtime is one of the most significant costs in modern manufacturing. Traditional preventive maintenance—scheduling service based on time—often leads to replacing parts too early or missing unexpected failures.
Predictive maintenance uses IoT sensors to monitor equipment health in real-time. By analyzing data such as vibration, temperature, and power consumption, algorithms can predict when a machine is likely to fail.
The RedShift Approach
Our automation team integrates smart sensors directly into existing PLCs. This data is fed into centralized dashboards, alerting maintenance teams only when necessary, maximizing both uptime and equipment lifespan.