Asset Maintenance in Assignar
Get machines serviced fast, and see what they really cost you.
Faults reported from the field turn into repair work orders. Down machines drop off the schedule automatically. Every hour of labor and every part lands against the asset, so maintenance cost shows up while you can still act on it, not at month-end.
OUT OF SERVICE
Raised from this morning’s pre-start
- Asset
- 25t crawler crane
- Fault
- Hydraulic leak, boom ram
- Status
- Down
- Work order
- Assigned to mechanic
- Scheduling
- Blocked until repaired
Photos, priority and the operator’s notes travel with the work order.
Watch the walkthrough
From fault report to back on the job
See how a defect raised in the field becomes a repair work order, takes the machine off the schedule, and lands every labor hour and part against the asset.
The maintenance gap
Maintenance is where equipment margin quietly leaks out.
Most contractors aren’t short on effort in the workshop. They’re short on visibility between the field, the workshop and the office.
Faults get lost between the field and the workshop
A defect written on a paper pre-start can sit in a truck for days. By the time the fitter hears about it, a small fix has become a big repair.
Broken machines still get booked
When the scheduler can’t see that a machine is down, crews arrive on site to an asset that can’t work. That’s lost hours, a frustrated client and a scramble for a replacement.
Repair costs hide in the totals
Mechanic hours and parts get lumped into overheads, so nobody can say which machines cost the most to keep running until the month is already closed.
One connected workflow
From first report to back on the job, in one workflow.
Field, workshop and scheduling work from the same record, so everyone knows the state of every machine.
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Report the fault
Operators raise a fault directly or straight from an inspection or pre-start checklist, with photos and notes attached.
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Mark it down
A machine marked Down is blocked from scheduling, so nobody books it onto a job by mistake.
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Raise a work order
Create a repair work order and assign it to your own mechanics or an outside repairer.
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Record the repair
Log labor and materials against the work order as the repair progresses, so the cost is captured at the source.
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Back in service
Close the work order and the machine returns to the schedule, with the full repair history kept on the asset.
Know which machines are earning their keep.
When every repair hour and part is tied to the asset, the numbers that matter are already there.
- Maintenance history per asset. Every fault, work order and repair in one place.
- Fleet maintenance cost. See where repair spend is going across the fleet, not buried in overheads.
- Utilization alongside cost. Spot the machines that cost the most to keep running and work the least.
Example view
Fleet maintenance, last 90 days
| Asset | Status | Work orders | Repair cost |
|---|---|---|---|
| 25t crawler crane | Down | 6 | $18,420 |
| 30t excavator | In service | 3 | $10,860 |
| Water cart | Repair open | 2 | $6,240 |
| Tipper truck | In service | 1 | $2,390 |
Not another standalone maintenance app.
Maintenance in Assignar is connected to how you win, plan, run and get paid for work, so a breakdown in the field shows up everywhere it affects margin.
Win
Price jobs knowing what your equipment really costs to run.
Plan
Down machines are blocked from the schedule, so crews get assets that can work.
Operate
Pre-starts, faults, work orders and repairs run from the field and the workshop.
Pay
Repair labor and materials are captured against the asset, ready for cost reporting.
Stay ahead of inspections and expiring paperwork.
Track registrations, certificates and other asset documents with expiry warnings, so nothing lapses quietly. Import a machine’s maintenance plan and Assignar drafts the matching inspection and pre-start forms for your team to review and switch on.
Set required forms at the asset template level, and every machine of that type inherits them.
Once every maintenance hour was tied to a specific machine, the plant team could finally see true labor cost per asset, which machines were driving the most effort, and how much time was going to travel and delays instead of tools.
