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ScopePeriod

Scraper Conveyor CV-02

Asset 360 · Conveyor · Mill A
CV-02MAINTENANCECriticality BConveyor
Manufacturer
Sinar Steel Works
Model
SC-600
Location
Mill A · FFB Reception
Commissioned
2011-11-01
Age
15 years
Operating hours
92,790 h
Utilization
68%
Availability (90 d)
91.1%
MTBF / MTTR
1,459 h / 4.5 h
Replacement cost
Rp 407.0 m
Sensors
current, vibration, rpm
Region
Sumatra
81/100
Health score

Predictive maintenance

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

Confidence78%
Health score
81/100
Failure probability
10%7 days
Remaining useful life
90days
Anomaly score
0.200–1
Likely cause
Chain replacement (preventive)
Recommendation
Complete PM; verify tension
What the model sees
Confidence78%
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
Age / operating hours
+3.8 pp
Motor current / load
+2.5 pp
Vibration RMS trend
+1.6 pp
Speed deviation
+1.0 pp
Recent preventive maintenance
−2.0 pp
◀ lowers predictionraises ▶

Sensor trends & failure forecast

60-day history (daily) · dashed = model forecast

Motor current · % FLA
Warning 88 · Alarm 96 % FLA
No degradation trend — forecast shown only when the model detects a trajectory toward the failure threshold (forecast available for vibration & temperature).

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 12 m
Replacement costRp 407.0 m
Spare availabilityCHN-CV-600: 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 asset32
Health 81/100 and age 15 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 428 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 91 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 75 m
Planned downtime0 h

Recommended — risk is low; keep condition monitoring and standard PM.

Recommendation: Monitor
Confidence80%
Complete PM; verify tension. Option C expected cost Rp 75 m vs Rp 75 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 CV-02 across the warehouse network · home store WH-01

Cross-module: Inventory AI
CHN-CV-600 · Scraper conveyor chain (per m)
Lead time 21 d · Rp 2.3 m/m · 30-d demand 11
15 in home store
WH-01 · Mill A (home)
15 m · SS 4
WH-02 · Mill B
19 m · SS 4
GBX-CV-30 · GBX-CV-30
Lead time 14 d · Rp 0/pcs
0 in home store
Not stocked — procured on demand.
BR-6208 · Bearing 6208-2RS (sterilizer door drive / conveyor)
Lead time 21 d · Rp 1.9 m/pcs · 30-d demand 5
0 in home store
WH-01 · Mill A (home)
0 pcs · SS 2
WH-02 · Mill B
3 pcs · SS 2
Open Spare Parts Intelligence

Maintenance records

CMMS history, open work orders, failure events and spares

Work orderTypeDescriptionCreatedDueTechnicianCostStatus
WO-4213PreventiveChain replacement (preventive)2026-09-272026-09-29Agus S.Rp 22.0 mIn Progress
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.