OEE (Overall Equipment Effectiveness) is the key metric to measure industrial productivity. When it drops, the loss is direct: less production and higher costs. The problem is often the lack of real-time information to anticipate deviations.
With IoT, data on availability, performance, and quality is generated automatically. This lets you understand live what happens on each line, where time is lost, and what can be corrected without waiting for monthly reports.
The three axes of OEE
Availability: detect unplanned stops and causes of downtime.
Performance: measure actual cycles against the ideal in real time.
Quality: record defects at the source to stop scrap.
In manual schemes, each number depends on later spreadsheets. With IoT, logging is continuous and eliminates information gaps.
What changes with IoT
- Live monitoring of machine and line status.
- Immediate alarms for speed drops or stops.
- Automatic and traceable scrap indicators.
- Integrated data ready for dashboards and audits.
QBIT IoT advantages
Fast implementation
Sensors and gateways without extensive wiring.
Scalability
You start with one line and expand to the entire plant.
Reliable data
OEE calculated with real-time records, without manual intervention.
Cost savings
Less scrap, fewer stops, more effective production.
Adapted to the local context: it works in industrial environments with variable connectivity. QBIT IoT turns OEE into an actionable tool, without relying on spreadsheets or delayed controls.
Conclusion
OEE reflects the health of the plant. With IoT it stops being a late calculation and becomes a live dashboard to decide with precision. QBIT IoT provides the infrastructure to achieve it in a practical and scalable way.
