AppMatic Tech engineers factory IoT platforms that track machine OEE, downtime, and throughput from equipment sensors over MQTT into a time-series store, with real-time alerts and analytics. Plant teams see line performance from a Node.js and React dashboard. 330+ products shipped since 2017.
Overall Equipment Effectiveness is only actionable when downtime and throughput are captured live per machine. AppMatic Tech builds the ingestion and analytics so plant teams see OEE in real time and react to stoppages.
IoT Application Development Stack for Manufacturing
| Layer | What AppMatic Tech uses |
|---|---|
| Device ingest | MQTT broker, PLC / machine sensor integration |
| Time-series store | TimescaleDB on PostgreSQL |
| Backend | Node.js ingestion and OEE computation |
| Dashboard | React line and machine performance views |
| Alerts | Downtime and throughput alerts |
How AppMatic Tech Delivers This
- Integrate machine and PLC signals per line.
- Ingest data over MQTT and compute OEE, downtime, and throughput.
- Build line and machine performance dashboards.
- Add real-time downtime and throughput alerts.
- Validate on the plant floor and deliver with a support SLA.
Frequently Asked Questions
- What is OEE monitoring on this platform?
- AppMatic Tech computes Overall Equipment Effectiveness from machine sensor data over MQTT, so plant teams see availability, performance, and quality per machine and line in real time.
- Does it alert on downtime?
- Yes. AppMatic Tech builds real-time downtime and throughput alerts, so a stoppage or slowdown notifies the team rather than being found in an end-of-shift report.
- How does it connect to machines?
- AppMatic Tech integrates machine and PLC signals over MQTT, so the platform reads equipment data without replacing existing controls.
Further reading: BLE vs Wi-Fi vs MQTT: Choosing the Right Protocol for IoT Mobile App Integration