Ask most maintenance managers what percentage of their budget goes to emergency repairs versus planned work, and the honest answer is usually "we're not sure." One steel plant found that reactive repairs were eating well over half its maintenance spend, hiding behind a total budget number that looked reasonable on paper. Moving to a CMMS-driven preventive and predictive program brought that spend into view and brought the cost per tonne down with it. Sign up to see where your own maintenance spend is really going.
-28% Cost/Tonne
Reduction in maintenance cost per tonne of steel produced
45% Less Reactive Work
Drop in emergency repair spend as planned maintenance took over
11 Months
Time for the CMMS investment to pay for itself
The Problem
The plant knew its total annual maintenance budget and headcount, but couldn't say what share went to emergency repairs versus scheduled work, which assets consumed the most resources, or where unplanned downtime was concentrated. That visibility gap was quietly inflating the cost per tonne year after year.
How The Cost Was Brought Down
Phase 1
Baseline The Real Cost Drivers
Every work order was tagged reactive, preventive, or predictive, exposing that reactive repairs were consuming more than half of total spend
Phase 2
Rank Assets And Move Critical Equipment To PM
Assets were ranked by production impact and repair cost, and the highest-risk equipment was shifted onto scheduled preventive maintenance first
Phase 3
Add Condition-Based Triggers On Top-Impact Assets
Vibration and temperature thresholds on critical drives and rotating equipment began generating work orders before failure, not after
Phase 4
Right-Size Spare Parts Inventory
Stock levels were rebuilt around actual failure history and lead times instead of a flat safety margin, freeing up tied-up capital
Find Out Where Your Maintenance Budget Is Really Going
Oxmaint tags every work order as reactive, preventive, or predictive so cost drivers stop hiding in a total number. Sign up for a free trial to see it against your own maintenance data, or book a demo to walk through your cost per tonne.
Maintenance Program Before And After
| Metric |
Before |
After |
| Reactive vs planned work |
Reactive repairs dominated the spend |
Planned and predictive work now the majority |
| Maintenance cost per tonne |
Tracked as a single total, hard to explain to finance |
Down 28%, broken down by asset and work type |
| Spare parts inventory |
Sized on last year's usage plus a safety margin |
Sized against actual failure history and lead time |
| Unplanned downtime events |
Frequent, absorbing crew time and production hours |
Fewer and shorter, caught by condition-based alerts |
The Results
None of the four phases required new equipment, they required visibility into where money was already being spent. Once reactive work was traced to specific assets, the fix was straightforward, shift the highest-cost equipment to planned maintenance first and let the savings compound from there.
Frequently Asked Questions
Q
Why is reactive maintenance so much more expensive than planned work?
Emergency repairs often involve rush parts, overtime labor, and unplanned production loss, so the same repair can cost several times more than the equivalent job scheduled in advance.
Q
How does a CMMS actually lower maintenance cost per tonne?
It gives visibility into which assets and work types drive spend, so effort can shift toward preventive and predictive maintenance on the equipment where it matters most.
Q
Does reducing maintenance cost mean doing less maintenance?
No, it means doing the right maintenance at the right time on the right assets, cutting too much spend usually causes breakdowns that cost more than the savings.
See Where Your Maintenance Dollars Are Really Going
Oxmaint turns scattered work orders into a clear picture of reactive, preventive, and predictive spend by asset. Sign up for a free trial to see it against your own maintenance data, or book a demo to walk through your cost per tonne.
