⌘K
ScopePeriod

Oil Loss Analyzer (NIR) LB-01

Asset 360 · Laboratory Equipment · Mill A
LB-01RUNNINGCriticality CLaboratory Equipment
Manufacturer
LabTek
Model
NIR-OL 300
Location
Mill A · Laboratory
Commissioned
2014-10-02
Age
12 years
Operating hours
75,939 h
Utilization
77%
Availability (90 d)
96.2%
MTBF / MTTR
2,329 h / 3 h
Replacement cost
Rp 1.02 bn
Sensors
temperature
Region
Sumatra
78/100
Health score

Predictive maintenance

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

Confidence79%
Health score
78/100
Failure probability
19%7 days
Remaining useful life
177days
Anomaly score
0.210–1
Likely cause
No abnormal failure mode detected
Recommendation
Continue condition monitoring; next PM as scheduled
What the model sees
Confidence79%
All monitored signals are within normal bands. Failure probability 19% 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
+6.3 pp
Age / operating hours
+3.0 pp
Recent preventive maintenance
−2.0 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)19%
CriticalityClass C
Downtime impactRp 165 m / h
Planned repair costRp 31 m
Replacement costRp 1.02 bn
Spare availabilityLAMP-NIR-3: not in stock — procure
Production schedulePeak crop · next shutdown Sun
Option suitability
Monitor76
Failure risk low; condition monitoring sufficient
Schedule maintenance58
Fits next planned shutdown; balances risk and production
Replace asset26
Health 78/100 and age 12 yrs do not justify capex
Repair now2
Stops the line during peak crop — restan and emergency premium
Replace component2
No single failing component identified
Scenario comparison
OPTION A
Repair immediately
Stop line now, replace component using emergency transfer
Failure risk2%
Expected costRp 447 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 risk7%
Expected costRp 110 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 risk19%
Expected costRp 153 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 153 m vs Rp 153 m if left to run; residual risk 19%.
Estimated impact based on synthetic scenario assumptions. Recommendation requires validation by the Maintenance Manager.

Spare parts availability

Key parts for LB-01 across the warehouse network · home store WH-01

Cross-module: Inventory AI
LAMP-NIR-3 · LAMP-NIR-3
Lead time 14 d · Rp 0/pcs
0 in home store
Not stocked — procured on demand.
Open Spare Parts Intelligence

Maintenance records

CMMS history, open work orders, failure events and spares

No open work orders — asset on standard PM schedule.
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.