TR-009RUNNINGCriticality BTruck
Manufacturer
Garuda Trucks
Model
GT-10 Dump
Location
Estate C
Commissioned
2020-08-08
Age
6 years
Operating hours
32,772 h
Utilization
71%
Availability (90 d)
97.6%
MTBF / MTTR
1,229 h / 4.7 h
Replacement cost
Rp 894.0 m
Sensors
temperature, oilCondition, rpm
Region
Kalimantan
Health score
Predictive maintenance
Asset Failure Prediction v3.2 · gradient-boosted survival model on IoT, SCADA and CMMS history · refreshed 06:52
Confidence82%
Health score
87/100
Failure probability
8%7 days
Remaining useful life
220days
Anomaly score
0.140–1
Likely cause
No abnormal failure mode detected
Recommendation
Continue condition monitoring; next PM as scheduled
What the model sees
Confidence82%All monitored signals are within normal bands. Failure probability 8% over 7 days; continue condition monitoring and scheduled PM.
Why this prediction — top drivers (pp of failure probability)
Baseline failure rate for class ≈ 12% · bars push probability up or down
Temperature deviation
+1.7 pp
Age / operating hours
+1.5 pp
Oil condition index
+1.0 pp
Speed deviation
+0.7 pp
Recent preventive maintenance
−2.0 pp
◀ lowers predictionraises ▶
Sensor trends & failure forecast
60-day history (daily) · dashed = model forecast
Temperature · °C
Warning 78 · Alarm 88 °C
No degradation trend — forecast shown only when the model detects a trajectory toward the failure threshold.
Maintenance Decision Intelligence
Weighs failure probability, criticality, downtime impact, repair vs replacement cost, spare availability and production schedule
Decision inputs
Failure probability (7 d)8%
CriticalityClass B
Downtime impactRp 6 m / h
Planned repair costRp 27 m
Replacement costRp 894.0 m
Spare availabilityTYR-TR-900: in local store
Production scheduleFlexible (estate fleet)
Option suitability
Monitor85
Failure risk low; condition monitoring sufficient
Schedule maintenance41
Fits next planned shutdown; balances risk and production
Replace asset9
Health 87/100 and age 6 yrs do not justify capex
Replace component6
No single failing component identified
Repair now2
Low downtime cost, but unplanned mobilisation
Scenario comparison
OPTION A
Repair immediately
Stop line now, replace component using emergency transfer
Failure risk2%
Expected costRp 61 m
Planned downtime4 h
Lowest risk, but takes the unit out of evacuation/field work immediately.
OPTION B
Repair in low-production window
Replace at next planned shutdown
Failure risk3%
Expected costRp 30 m
Planned downtime4 h
Balances failure risk against production loss at the next planned shutdown.
Recommended
OPTION C
Continue monitoring
Run to next scheduled shutdown (14 days)
Failure risk8%
Expected costRp 12 m
Planned downtime0 h
Recommended — risk is low; keep condition monitoring and standard PM.
Recommendation: Monitor
Confidence80%Continue condition monitoring; next PM as scheduled. Option C expected cost Rp 12 m vs Rp 12 m if left to run; residual risk 8%.
Spare parts availability
Key parts for TR-009 across the warehouse network · home store WH-04
Cross-module: Inventory AI
TYR-TR-900 · Truck tyre 9.00-20
Lead time 10 d · Rp 3.6 m/pcs · 30-d demand 15
WH-04 · Estate C (home)
12 pcs · SS 3
WH-03 · Estate B
11 pcs · SS 3
FLT-TR-FUEL · Truck fuel filter
Lead time 7 d · Rp 240 k/pcs · 30-d demand 33
WH-04 · Estate C (home)
19 pcs · SS 4
WH-03 · Estate B
28 pcs · SS 4
BRK-TR-PAD · Truck brake lining set
Lead time 10 d · Rp 1.1 m/set · 30-d demand 9
WH-04 · Estate C (home)
11 set · SS 2
WH-03 · Estate B
6 set · SS 2
Maintenance records
CMMS history, open work orders, failure events and spares
No open work orders — asset on standard PM schedule.