A company car drives only 3,000 km a year, a specialty test instrument was used just twice last month, a meeting projector sits idle 80% of the time — these low-efficiency assets tie up a sizable chunk of net value. Utilization analysis scores and ranks by "actual usage count / duration," surfacing "the lowest-value 20%."
Utilization efficiency reflects whether an asset's existence is justified
Compute utilization by "actual usage time / available time," with different bases per asset type: vehicles by mileage, equipment by running hours
Count each asset's monthly / quarterly usage (requisition, scan, check-in, power-on) to gauge activity
A top-20 list of the lowest-utilization assets, each annotated with net value, idle duration and a suggested action
Compare "usage per head / utilization" across departments to see if a department is over-configured
Suggest managing low-utilization assets via a "shared pool" to raise usage and reduce the configured quantity
Tally the total net value tied up by long-idle assets, making "sunk money" visible to drive management decisions
Laptop utilization is by "weekday power-on time," vehicles by "annual mileage / standard mileage," specialty instruments by "running hours / standard hours." The system presets a basis per category, so admin needn't set it manually — it works out of the box.
Each department once kept its own portable projector, used fewer than 10 times a year — classic low efficiency. Switching to a "company shared projector pool" of 3 units covers everyone, borrowed on demand, raising usage from 8% to 70%, with 8 idle units absorbed and disposed of. The system provides a visualized comparison and recommendation for the conversion.
Each meeting room once had a fixed projector + microphone + video-conf device with low usage. After switching to a shared device pool, configuration was cut 40%, saving 800K.
R&D has 5 same-model test instruments; efficiency analysis shows 2 are barely used. Transferring them to a sibling department or disposing of them saves 120K in annual depreciation.
10 company cars average 5,000 km/year, far below the 15,000 km standard. Disposing of 4 and switching to shared car rental saves 300K a year.
Low-efficiency analysis finds 50 laptops over 5 years old powered on fewer than 5 days a month; centralizing their recovery and disposal frees up workstations and storage space.
Efficiency data drives reactivation and configuration decisions
Coarse status classification + fine efficiency data complement each other
The execution entry to transfer low-efficiency assets to departments with a gap
Dispose of extremely low-efficiency assets directly to recover residual value
Combine with the distribution dimension to see which department has the most low-efficiency assets
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