The monthly report says maintenance spend is up again, but it does not say why. Fleet totals mix twenty, fifty or five hundred machines into one number, so a few problem assets can push costs up while hiding behind the average. Asset-level analytics breaks that total down machine by machine, system by system and job by job. Within a few weeks of good records, the real drivers usually stand out clearly. This guide explains which measures to track and how to find the cause, and shows how teams see costs for every machine in HVI.
Maintenance Costs Growing but You Can't Find Why? Use Asset-Level Analytics
Break fleet spend down to each machine, find the assets driving the increase, and make repair and replace decisions on cost per hour, not averages.
Why Fleet Totals Hide the Cause
A single cost figure for the whole fleet blurs the patterns that explain it.
Averages hide outliers
One failing machine disappears inside a fleet average.
Costs without hours
Spend means little without how much each machine worked.
No system split
Engine, hydraulic and undercarriage costs all look the same.
Repeat jobs unseen
The same repair done three times looks like three new jobs.
Measures to Track for Every Asset
A few measures per machine explain much of the cost growth. Each one needs costs and hours recorded against the asset.
| Measure | How it is worked out | What it reveals |
|---|---|---|
| Maintenance cost per hour | Parts and labour divided by hours worked | Which machines are expensive to keep running |
| Cost by system | Costs grouped by engine, hydraulics, undercarriage and others | Where on the machine the money goes |
| Planned versus breakdown | Share of cost from scheduled work against failures | Whether maintenance is under control |
| Repeat repairs | Same job on the same machine within a set period | Faults not fixed properly the first time |
| Hours between failures | Hours worked divided by number of breakdowns | How reliable each machine is |
Finding the Cause in Four Steps
Work from the whole fleet down to the specific job.
Rank machines
Sort by the cost increase this period.
Split by system
Find which system drives each top machine.
Look for repeats
Check if the same job keeps coming back.
Decide and act
Fix the root cause, or plan replacement.
See Maintenance Costs for Every Machine
HVI records work orders, parts and hour readings against each asset, so costs, repeat repairs and cost per hour can be seen machine by machine instead of buried in a fleet total.
Repair or Replace? Let the Numbers Decide
Asset-level costs make lifecycle decisions clearer and easier to explain to owners and finance teams.
- Cost per hour close to similar machines
- One-off failure, not a pattern
- Good availability after past repairs
- Major parts still within their expected life
- Cost per hour rising quarter after quarter
- Repeat failures across several systems
- Availability falling below the fleet
- Next major repair near the machine's value
Compare each machine's cost per hour with similar machines of the same type and duty, not with the whole fleet. A dump truck and a DG set should never share a benchmark.
Asset Cost Ranking in HVI
A sample quarterly view of the machines driving cost growth.
| Machine | Cost per hour | Change | Main driver | Status |
|---|---|---|---|---|
| EX-03 | Rs 310 | Steady | Planned services | Normal |
| TP-12 | Rs 540 | Up 28% | Repeat brake repairs | Fix root cause |
| EX-07 | Rs 880 | Up 61% | Hydraulic pump and hoses | Replacement review |
Asset-Level Analytics FAQs
What is asset-level maintenance analytics?
It means recording and analysing maintenance costs, hours and failures for each machine, rather than only for the fleet as a whole, so the machines and systems driving cost can be identified.
How do I calculate maintenance cost per hour?
Add the parts and labour spent on a machine over a period and divide by the hours it worked in that period. For example, Rs 1,80,000 over 600 hours is Rs 300 per hour.
Why are my maintenance costs rising?
Often a small number of machines, ageing assets or repeat repairs drive much of the increase. Ranking machines by cost growth and splitting costs by system usually reveals the cause.
What data do I need to start?
Work orders with parts and labour against each machine, and regular hour meter readings. Teams that record work in HVI build this data from daily jobs.
Can this work for a large multi-site fleet?
Yes. The same measures apply to every machine, and costs can be compared by site, type and age across the fleet. Book a demo to see how HVI fits your fleet.
Find Out Exactly Where the Money Goes
Track costs and hours for every machine, rank the assets driving growth and fix root causes in HVI. Clear answers when the maintenance bill goes up.
