This is a real diagnosis, replayed. One question from the plant floor — and Morale traces it through sensors, MES records, and maintenance history.
Why did Line 3's OEE drop last week, and which root causes should we fix first?
RMS velocity (mm/s) · July 3 · sensor VIB-04-2
| Time | RMS (mm/s) | State |
|---|---|---|
| 06:00–14:00 | 2.1–2.6 | Normal |
| 14:22 | 4.9 | Shift detected |
| 14:30–18:00 | 4.6–5.2 | Above 3.5 threshold |
Last 7 days · Line 3 · 6.8 h total
| Contributor | Downtime (h) | Share |
|---|---|---|
| Bearing wear — Station 4 | 2.6 | 38% |
| Feeder jam — Station 2 | 1.4 | 21% |
| Tool change overrun | 1.1 | 16% |
| Material wait | 0.9 | 13% |
| Sensor fault — E-stop 7 | 0.5 | 7% |
| Other | 0.3 | 5% |
What should we fix first, and what does it save us?
Evidence: VIB-04-2 sensor stream · MES downtime events · log #ML-2023-0614 — every step traceable to your data.
Great — can you summarize all of this into one dashboard for the morning meeting?
Hours lost · identified cause highlighted
RMS mm/s · July 3 · shift at 14:22
Every step traceable to your data
14:22 vibration shift on Station 4 matches a bearing degradation signature across 3 sensors.
Identical pattern on Line 1. Resolved with bearing replacement + lubrication adjustment.
2 h planned stop vs ~9 h unplanned risk. Est. OEE recovery +3.8 pts.
6.8 h total · last 7 days
First agent live in about 14 days — on-premise, cloud, or hybrid.