- Real-time Data Collection: Sensors on machines continuously collect data on operating conditions such as speed, temperature, pressure, and utilization.
- Performance Analysis: This data is analyzed in real-time to monitor performance metrics such as Overall Equipment Effectiveness (OEE).
- Detection of Deviations: Monitoring allows quick identification of deviations from standard performance values.
- Swift Response: When deviations are detected, immediate action can be taken to optimize machine performance and increase OEE.
- 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.
