Preventive servicing costs money with no visible return, but a single fault repair can equal half a year's servicing fees. Maintenance cost analysis puts these two ledgers side by side: servicing-spend trend, repair-spend trend, per-unit cumulative ratio, and category average cost — to find the most economical "maintenance intensity."
Each item maps to a management decision
A monthly trend curve of servicing / repair cost over the last 12 months, to see whether spend follows seasonal or aging patterns
Summarize annual cost by asset category (computers / AC / vehicles / production equipment) to identify the "biggest spender" category
Summarize maintenance cost by using department, compared against department asset scale to gauge maintenance efficiency
Each asset's cumulative maintenance ratio (cumulative cost / original value), flagged red and prompting replacement when over threshold
Compare two groups within the same category — "high servicing spend" vs "high repair spend" — to verify whether preventive servicing is worth it
Combine historical data to regress the "intensity at which total cost is lowest at N services/year," informing plan formulation
Monthly maintenance spend (¥10k) · summer AC peak
AC maintenance cost is clearly higher in June / September than other months — that's seasonal demand; laptop repair cost rises steeply from the 4th year of use — that's the aging effect. The trend curve visualizes these patterns so budgets can be laid out ahead of the curve.
"AC serviced on schedule vs AC not serviced on schedule" — which has the lower five-year total cost of ownership? Data answers this: group same-category assets by servicing frequency, tally each group's "total servicing + total repair + downtime loss," and find the frequency tier with the lowest combined cost. The conclusion may be counterintuitive.
Data shows a model of AC has the lowest total cost at 2 services/year; adjusting the servicing frequency saves 15% of the maintenance budget.
5 old laptops have a cumulative repair ratio over 60%; the IT manager requests bulk replacement from the CFO with the data — the comparison speaks for itself.
Next year's maintenance budget is built from category average cost + aging-rate forecast, ending "gut-feel" budgeting.
Tally an outsourced vendor's annual total cost and service efficiency to negotiate next year's contract — bargaining or switching vendors based on data.
Cost data is the analytical foundation, reaching many decisions
The cost data from all servicing records is the source of cost analysis
Repair tickets' parts + labor costs are another source of cost analysis
Plan frequency adjusts to the cost-optimal recommendation, forming a data loop
Cumulative repair cost is a key input to the lifecycle's "repair beats replace"
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