Cost Per Asset and Cost Per Site

Maintenance spend recorded only as a monthly total supports no decision. Attributed to assets and sites, the same data answers most of the questions an operator has.

Cost per asset

What it includes: all repairs, all preventive work allocated to that asset, parts, and — where estimated — consequential loss from its failures.

What it enables:

Replacement decisions with evidence. Cumulative cost approaching replacement value is the signal, and it is invisible without the attribution.

Identifying the problem units. In most estates a small number of assets generate a disproportionate share of the cost.

Validating the preventive schedule. Assets on the schedule still generating reactive work need a different interval, a better task list, or replacement.

Comparing models. Where an operator has several models of the same equipment type, cost per asset over a few years shows which specification to buy next time. This is the most valuable long-run output and almost nobody has the data to produce it.

What it requires: every work order tagged to an asset. That is the whole prerequisite, and it is why the asset register and the tagging discipline come first.

Cost per site

What it includes: all maintenance spend at the site, ideally with consequential loss.

Normalised by kitchen age, sales volume or covers, so that comparison is meaningful. An unadjusted table simply ranks sites by age.

What it enables:

Outlier identification. A site well above the adjusted group has an explanation worth finding.

Budget allocation that reflects reality rather than an equal split.

Vendor comparison, where different regions use different contractors.

Manager comparison, carefully. A site with high spend may have a manager who reports diligently, which is the behaviour you want. High spend and low reported work order count together is the concerning combination.

Capital planning, by identifying sites whose equipment is at end of life collectively.

Investigating an outlier

A site above the group is a question, not a verdict. The order of investigation:

Age of the equipment. Frequently the whole answer.

A single asset dominating. One failing walk-in can account for the difference.

Environmental cause — water quality, air balance, exhaust location, power quality. Look for the same fault type across several assets.

Vendor. Compare repeat rates and cost per work order against other sites using different contractors.

Usage. Volume, or equipment operated outside specification.

Reporting behaviour. A conscientious manager reports more, which raises apparent cost and lowers actual cost. Check the emergency share: high reporting with low emergency share is a well-run site.

What gets missed in the attribution

Preventive contract fees covering many assets, which need allocating. A simple even split across covered assets is adequate.

Consequential loss, which sits in waste and revenue rather than maintenance.

Internal labour, where a technician is employed.

Emergency premiums, worth separating so the cost of reactive operation is visible.

Capital replacements, which belong in a separate view but need to be visible alongside repair history for the replace decision.

Building it without software

An operator with no platform can produce both views from a spreadsheet.

Columns: date, site, asset tag, asset type, work order type, vendor, description of fault, labour cost, parts cost, total, downtime hours, consequential loss estimate.

One row per work order.

Two pivot tables: by asset, by site.

That is the entire analysis and it takes an afternoon to set up. The difficulty is never the calculation; it is having invoices that identify which asset the work was on, which is a process discipline rather than a tooling problem.

The annual output

Once a year, from this data:

The replacement list, ranked by cumulative cost against replacement value.

The schedule revision, based on which preventive tasks prevented anything.

The vendor review, with cost and repeat rates per contractor.

The budget, built from assets rather than from last year's number.

Four decisions, all defensible, all impossible without the attribution.

Handling the allocation problems

Two practical issues arise the first time anyone attributes cost properly.

Contract fees covering many assets. A quarterly refrigeration contract covers eight units at a site. Allocate evenly across the covered assets; precision here adds nothing and the purpose is comparison rather than accounting.

Work orders covering several assets in one visit. A technician clears three routine items. Split the labour evenly and attribute parts specifically, or attribute the whole to the primary asset and note it. Either is acceptable provided it is consistent.

Consequential loss goes to the asset that failed, not to the site generally.

Internal labour, where it exists, at a loaded hourly rate.

Capital replacement in a separate column, visible alongside repair history so the replace decision has both figures.

Do not let the allocation questions delay starting. An imperfect attribution reviewed annually produces good decisions; a perfect method never implemented produces none.