PU-01RUNNINGCriticality BPump
Manufacturer
Tirta Pumps
Model
TP-150
Location
Mill A · Clarification
Commissioned
2018-06-11
Age
8 years
Operating hours
51,572 h
Utilization
74%
Availability (90 d)
97.1%
MTBF / MTTR
1,690 h / 5 h
Replacement cost
Rp 241.0 m
Sensors
vibration, current, pressure, temperature
Region
Sumatra
Health score
Predictive maintenance
Asset Failure Prediction v3.2 · gradient-boosted survival model on IoT, SCADA and CMMS history · refreshed 06:52
Confidence85%
Health score
83/100
Failure probability
10%7 days
Remaining useful life
166days
Anomaly score
0.170–1
Likely cause
No abnormal failure mode detected
Recommendation
Continue condition monitoring; next PM as scheduled
What the model sees
Confidence85%All monitored signals are within normal bands. Failure probability 10% 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
Vibration RMS trend
+2.5 pp
Age / operating hours
+2.0 pp
Motor current / load
+1.6 pp
Pressure variation
+1.0 pp
Temperature deviation
+0.6 pp
Recent preventive maintenance
−4.0 pp
◀ lowers predictionraises ▶
Sensor trends & failure forecast
60-day history (daily) · dashed = model forecast
Vibration · mm/s RMS
Warning 4.5 · Alarm 7.1 mm/s RMS
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)10%
CriticalityClass B
Downtime impactRp 165 m / h
Planned repair costRp 7 m
Replacement costRp 241.0 m
Spare availabilityIMP-PU-150: in local store
Production schedulePeak crop · next shutdown Sun
Option suitability
Monitor83
Failure risk low; condition monitoring sufficient
Schedule maintenance44
Fits next planned shutdown; balances risk and production
Replace asset15
Health 83/100 and age 8 yrs do not justify capex
Replace component7
No single failing component identified
Repair now2
Stops the line during peak crop — restan and emergency premium
Scenario comparison
OPTION A
Repair immediately
Stop line now, replace component using emergency transfer
Failure risk2%
Expected costRp 423 m
Planned downtime4 h
Lowest risk, but interrupts peak-intake processing and creates restan.
OPTION B
Repair in low-production window
Replace at next planned shutdown
Failure risk3%
Expected costRp 86 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 risk10%
Expected costRp 73 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 73 m vs Rp 73 m if left to run; residual risk 10%.
Spare parts availability
Key parts for PU-01 across the warehouse network · home store WH-01
Cross-module: Inventory AI
IMP-PU-150 · Pump impeller 150 mm
Lead time 30 d · Rp 8.2 m/pcs · 30-d demand 0.8
WH-01 · Mill A (home)
4 pcs · SS 1
WH-02 · Mill B
4 pcs · SS 1
SEAL-MECH-45 · Mechanical seal 45 mm
Lead time 14 d · Rp 3.9 m/pcs · 30-d demand 2.4
WH-01 · Mill A (home)
7 pcs · SS 1
WH-02 · Mill B
3 pcs · SS 1
BR-6308 · Bearing 6308-2Z (pumps)
Lead time 14 d · Rp 1.3 m/pcs · 30-d demand 4.7
WH-01 · Mill A (home)
10 pcs · SS 2
WH-02 · Mill B
12 pcs · SS 2
Maintenance records
CMMS history, open work orders, failure events and spares
No open work orders — asset on standard PM schedule.