MTTR isn't one number, it's four or five delays stacked together, diagnosis time, parts search time, actual repair time, and verification time. One cement plant's average repair took over six hours, and almost half of that was technicians walking to the storeroom or waiting on someone to confirm which spare matched the failed part. Breaking down where the time actually went, then fixing each piece inside the CMMS, cut the number in half. Sign up to see where your own repair time is going.
-52% Average MTTR
Reduction in mean time to repair across critical assets within six months
-61% Parts Search Time
Less time spent locating the correct spare part once a work order opened
2.4 Hrs Saved Per Job
Average time saved per repair once diagnosis and parts lookup moved into the CMMS
The Problem
A repair that should have taken two hours regularly stretched past six. The actual wrenching time was rarely the issue, most of the delay came from technicians diagnosing the fault without equipment history on hand, then walking to the storeroom to search for a part with no confirmation it was even the right one or in stock, then waiting on a supervisor to sign off once the job was done.
Where Repair Time Was Actually Going
Diagnosis, No Asset History On Hand30% of repair time
Technicians re-diagnosing faults with no record of past failures on that asset
Locating The Correct Spare Part35% of repair time
Walking to the storeroom without confirmed stock or part number in hand
Actual Hands-On Repair25% of repair time
The actual fix, the part of the job that was rarely the bottleneck
Sign-Off And Verification10% of repair time
Waiting on a supervisor to close and confirm the completed work order
Find Out Where Your Repair Time Is Going
Oxmaint puts asset history, confirmed spare part availability, and mobile sign-off in one place, so technicians stop losing hours between diagnosis and repair. Sign up for a free trial to break down your own MTTR, or book a demo to walk through your current repair workflow.
Repair Workflow Before And After
| Stage |
Before |
After |
| Diagnosis |
No visibility into past failures on the same asset |
Full failure history pulled up on mobile before starting |
| Spare parts lookup |
Physical walk to storeroom, no stock confirmation |
Stock and location confirmed on the work order before walking over |
| Work order updates |
Logged on paper after returning to the office |
Updated live from the floor on mobile |
| Sign-off |
Waiting on a supervisor to be free to review |
Remote approval closes the work order without delay |
The Results
Cutting MTTR in half didn't require faster technicians, it required removing the delays around the actual repair. Once asset history, spare parts status, and sign-off all lived in the same CMMS, the hands-on repair time stayed the same, but everything surrounding it shrank dramatically.
Frequently Asked Questions
Q
What actually drives up MTTR in most plants?
It's rarely the repair itself, most of the time is lost in diagnosis without asset history and in searching for spare parts without confirmed stock, both of which sit before the technician even picks up a tool.
Q
How does a CMMS reduce parts search time specifically?
By linking each asset to its spare parts and showing real-time stock and storeroom location on the work order itself, so a technician confirms availability before walking over instead of searching once there.
Q
Is MTTR the same thing as MTBF?
No, MTTR measures how long a repair takes once a failure happens, while MTBF measures how often failures happen in the first place, both matter but they're improved through different levers.
Cut The Delays Around Every Repair
Oxmaint gives technicians asset history, confirmed spare parts, and mobile sign-off in one workflow, so repairs move faster from the first minute. Sign up for a free trial to see your own MTTR breakdown, or book a demo to walk through your repair workflow.
