This mill drive keeps breaking down" doesn't get a capital request approved. "This mill drive has cost us 340 hours of downtime and 18% of its replacement value in repairs over the last two years" does. The difference between those two sentences is whether your maintenance data was actually being tracked. Sign up to see how Oxmaint turns work order history into the numbers finance actually wants to see.
60-70%
Of an asset's total lifecycle cost typically comes from maintenance, not the purchase price
2-3x
Higher approval rate for capex requests backed by documented reliability data
15-20%
Annual repair cost as a share of replacement value where replacement usually starts winning
3-5 Years
Of clean work order history usually needed to build a defensible lifecycle cost curve
Why Capital Requests Get Rejected
Finance teams approve numbers, not frustration. A request built on "it's old and unreliable" competes poorly against other line items with hard figures attached. A request built on total repair spend, downtime hours, and a rising cost trend across the last three years reads as due diligence, and it's far harder to argue against because the data is already sitting in the CMMS, it just needs to be pulled together.
Repair vs Replace: The Factors That Actually Decide It
| Factor |
Leans Toward Repair |
Leans Toward Replace |
| Annual repair cost trend |
Flat or gently rising year over year |
Climbing faster each year, no plateau in sight |
| Unplanned downtime frequency |
Occasional, predictable, well managed |
Increasingly frequent and harder to plan around |
| Parts availability |
Still manufactured, reasonable lead times |
Obsolete, sourced secondhand or custom fabricated |
| Energy or output efficiency |
Still comparable to a modern equivalent |
Noticeably behind current-generation equipment |
Your Work Order History Is Already the Business Case
Oxmaint tracks repair cost, downtime hours, and parts spend against every asset automatically, so building a lifecycle cost trend is a report, not a weeks-long data hunt. Sign up for a free trial to pull your first asset's history, or book a demo and we'll show you how the trend report looks.
The Asset Lifecycle Cost Curve, Stage by Stage
| Lifecycle Stage |
Typical Maintenance Cost Behavior |
Data to Track |
| Early life |
Low and stable, mostly warranty-covered issues |
Baseline repair frequency and cost per incident |
| Useful life |
Predictable, mostly planned preventive spend |
Planned vs unplanned maintenance ratio |
| Wear-out phase |
Rising cost and frequency, the signal it's time to plan a replacement |
Year-over-year repair cost as a percent of replacement value |
A Capex Request, With and Without Reliability Data
Without Reliability Data
Request based on the maintenance manager's general impression
No documented downtime cost to weigh against the purchase price
Easy for finance to defer another year without pushback
With Reliability Data
Three-year repair cost and downtime trend pulled straight from the CMMS
Clear comparison of repair spend against replacement value
A specific payback timeline finance can actually evaluate
How Oxmaint Supports Capital Planning
Oxmaint logs repair cost, downtime hours, and parts consumption against every asset automatically, then rolls it into a lifecycle cost trend you can pull whenever a capital request needs building. Instead of reconstructing years of history from memory and spreadsheets, the data is already there, dated and defensible. Book a demo to see what your own asset history could support.
Frequently Asked Questions
Q
What's the minimum data needed to build a credible capex case?
At least two to three years of repair cost and downtime data per asset. Less than that makes it hard to distinguish a genuine rising trend from ordinary year-to-year variation.
Q
How do we account for downtime cost, not just repair spend?
Multiply the total unplanned downtime hours for the asset by your plant's estimated cost per hour of lost production. That figure usually dwarfs the raw repair bill and is often what actually moves finance.
Q
Is there a rule of thumb for when repair cost justifies replacement?
Many teams treat annual repair cost reaching 15-20% of replacement value as the point to start seriously modeling a replacement case, though downtime frequency and safety risk matter just as much as the raw number.
Q
Who should own pulling this data together, maintenance or finance?
Maintenance is best placed to pull the reliability data since it lives in the CMMS, but the strongest requests are built jointly, with finance framing it in payback period and total cost of ownership terms.
Stop Rebuilding Your Business Case From Memory Every Budget Cycle
Oxmaint gives steel plant teams automatic repair cost tracking, downtime logging, and lifecycle trend reports for every asset, so the capex case is already sitting in your data. Sign up for a free trial to pull your first report, or book a demo and we'll walk through it against your own assets.
