1. Real-time Data Collection: Sensors on machines continuously collect data on operating conditions such as speed, temperature, pressure, and utilization.
2. Performance Analysis: This data is analyzed in real-time to monitor performance metrics such as Overall Equipment Effectiveness (OEE).
3. Detection of Deviations: Monitoring allows quick identification of deviations from standard performance values.
4. Swift Response: When deviations are detected, immediate action can be taken to optimize machine performance and increase OEE.
5. Preventive Measures: In the long term, the data can be used to identify patterns leading to performance declines or downtime and initiate preventive measures.

Benefits:

– Increase in OEE: By optimizing performance and reducing downtime.

– Prevention of Unplanned Downtime: Through early detection and preventive maintenance.

– Efficiency Improvement: Optimization of operating processes for maximum performance.

This approach leads to more efficient machine utilization and a reduction in downtime, resulting in increased productivity and profitability.