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Excavator (Drainage & Roads) EX-03

Asset 360 · Excavator · Estate C
EX-03WARNINGCriticality BExcavator AI-flagged
Manufacturer
Samudra Heavy
Model
SH-210
Location
Estate C
Commissioned
2011-09-10
Age
15 years
Operating hours
101,607 h
Utilization
85%
Availability (90 d)
96%
MTBF / MTTR
1,456 h / 5.3 h
Replacement cost
Rp 2.15 bn
Sensors
temperature, oilCondition, rpm
Region
Kalimantan
76/100
Health score

Predictive maintenance

Asset Failure Prediction v3.2 · gradient-boosted survival model on IoT, SCADA and CMMS history · refreshed 06:52

Confidence80%
Health score
76/100
Failure probability
29%7 days
Remaining useful life
36days
Anomaly score
0.520–1
Likely cause
Hydraulic oil temperature trending high
Recommendation
Replace hydraulic filter; sample oil
What the model sees
Confidence80%
Hydraulic oil temperature trending high. Failure probability 29% over 7 days and RUL ≈ 36 days. Replace hydraulic filter; sample oil.
Why this prediction — top drivers (pp of failure probability)
Baseline failure rate for class ≈ 12% · bars push probability up or down
Temperature deviation
+11 pp
Oil condition index
+6.5 pp
Speed deviation
+4.3 pp
Age / operating hours
+3.8 pp
Recent preventive maintenance
−3.0 pp
◀ lowers predictionraises ▶

Sensor trends & failure forecast

60-day history (daily) · dashed = model forecast · anomaly began 14 Sep

Temperature · °C
Warning 78 · Alarm 88 °C

Maintenance Decision Intelligence

Weighs failure probability, criticality, downtime impact, repair vs replacement cost, spare availability and production schedule

Decision inputs
Failure probability (7 d)29%
CriticalityClass B
Downtime impactRp 6 m / h
Planned repair costRp 64 m
Replacement costRp 2.15 bn
Spare availabilityHYD-PMP-200: in local store
Production scheduleFlexible (estate fleet)
Option suitability
Schedule maintenance74
Fits next planned shutdown; balances risk and production
Monitor64
Risk too high to run without intervention
Replace asset33
Health 76/100 and age 15 yrs do not justify capex
Replace component21
No single failing component identified
Repair now12
Low downtime cost, but unplanned mobilisation
Scenario comparison
OPTION A
Repair immediately
Stop line now, replace component using emergency transfer
Failure risk2%
Expected costRp 98 m
Planned downtime4 h

Lowest risk, but takes the unit out of evacuation/field work immediately.

Recommended
OPTION B
Repair in low-production window
Replace at next planned shutdown
Failure risk10%
Expected costRp 67 m
Planned downtime4 h

Recommended — balances failure risk against production loss at the next planned shutdown.

OPTION C
Continue monitoring
Run to next scheduled shutdown (14 days)
Failure risk29%
Expected costRp 77 m
Planned downtime0 h

Expected cost dominated by probability-weighted unplanned outage.

Recommendation: Schedule maintenance
Confidence80%
Replace hydraulic filter; sample oil. Option B expected cost Rp 67 m vs Rp 77 m if left to run; residual risk 10%.
Estimated impact based on synthetic scenario assumptions. Recommendation requires validation by the Maintenance Manager.

Spare parts availability

Key parts for EX-03 across the warehouse network · home store WH-04

Cross-module: Inventory AI
HYD-PMP-200 · Excavator hydraulic pump
Lead time 60 d · Rp 86.0 m/pcs · 30-d demand 0.2
5 in home store
WH-04 · Estate C (home)
5 pcs · SS 1
WH-03 · Estate B
6 pcs · SS 1
FLT-HYD-1 · Hydraulic return filter
Lead time 10 d · Rp 680 k/pcs · 30-d demand 4.1
5 in home store
WH-04 · Estate C (home)
5 pcs · SS 1
WH-03 · Estate B
6 pcs · SS 1
Open Spare Parts Intelligence

Maintenance records

CMMS history, open work orders, failure events and spares

Work orderTypeDescriptionCreatedDueTechnicianCostStatus
WO-4330PredictiveAI-flagged: Hydraulic oil temperature trending high2026-09-282026-09-30Unassigned—Open
Synthetic asset data and simulated model output. Maintenance recommendations are decision support requiring validation by qualified personnel.
V-TEKI — IT & Business ConsultingDeveloped by V-TEKI · IT & Business ConsultingPrime Agri AI Intelligence Platform — prototype. All operational records are synthetic; model outputs are simulated; financial impacts are scenario estimates; recommendations require human validation. No actual company confidential data is used.