How a food production plant handles maintenance

In a food plant, maintenance carries a requirement general industry doesn’t have: it has to be provable. It’s not enough for a refrigerated unit to have been at the right temperature; you have to show the record, with its date, its value and who took it, when a customer or certification audit comes around.

That changes the priority. What determines whether the system works isn’t how many features it has, but whether the record happens where the work happens and whether it can later be retrieved in an orderly way.

Refrigeration comes first

It’s the critical asset and the one that concentrates the risk. A refrigerated unit whose temperature rises isn’t an issue: it’s compromised product.

Temperature records are the case where the difference between a tick-box checklist and one with values shows most. “Unit 3: correct” isn’t worth much; “−19.4°C at 08:15, by so-and-so” is, because it lets you see a trend and because it’s what gets shown.

In GMAO Cloud, checklist fields support their type, their label and a minimum and maximum value, so a reading outside range gets recorded as an anomaly right then. Checklist templates resolve in cascade — asset, model, subfamily, family — so the protocol for one type of equipment gets defined once and applied to all of them.

The leak module is a different thing

Worth clarifying, because it gets confused often and they’re two different mechanisms.

Fluorinated gas control — leaks in refrigeration systems — has its own module in GMAO Cloud, and it’s corrective: it originates from a detected leak and records its treatment.

Mandatory periodic maintenance of those same installations is something else: it’s done through the preventive maintenance mechanism, by attaching the checklist the regulation requires and its periodicity. Don’t go looking for a “legal maintenance module”: it doesn’t exist as such, and it’s more honest to explain how it’s actually achieved.

Traceability of what gets touched

In food production, what matters isn’t just what was done, but with what. A food-grade lubricant, a part in contact with product, a piece replaced on a specific line.

In warehouses and items, items that need it are tracked by batch, with their code, manufacturing date and expiry date, and their own cost. Consumption gets recorded when the work order closes, so it stays linked to the intervention, the asset and the date.

That lets you answer precisely the question that comes up when something goes wrong: which batch was used, on which line, and on what day.

The plan that gets audited

An audit doesn’t ask whether you have a plan: it asks whether you’ve met it.

With the checklist attached to the asset, its model or an entire family, and its periodicity defined, preventive maintenance generates orders on its own, checking beforehand whether the day is a holiday and whether the technician is available. And the annual plan executed report shows what was scheduled and what actually got done.

Together with completed checklists and documentation with its dates, that’s the file that gets shown. To be precise: the software records and proves; the company is who complies with the regulation. No system certifies anything.

Documentation that expires

Official inspection certificates, product data sheets, approvals, maintenance contracts, staff training records.

The document manager lets you attach documents to the asset, the line, the provider, the order or the issue, decide who can see them — customer, technician, provider — and set an expiry date, with daily checks of what’s about to expire and its corresponding alert. Certificates also carry their number, scope, issuer and holder.

The same goes for staff personal protective equipment, which also expires.

Production shutdowns

The permanent conflict in a plant: the machine needs inspecting, and the machine needs to produce.

That’s why it matters to see the load on the calendar and move work by dragging it when production dictates otherwise. If updating the plan costs more than ignoring it, it gets ignored, and then the system stops reflecting reality.

And that’s also why use-based preventive maintenance matters: an asset can carry a counter — operating hours, cycles, units produced — with a limit and a warning percentage, so that once a logged reading crosses the threshold the order gets generated automatically. On a line running irregular shifts, that fits reality better than a fixed calendar.

Recording on the line, not in the office

A plant room, a refrigerated unit or a suspended ceiling are places without coverage, and that’s where the work happens.

In the technician app, the operator fills in the checklist with its values, logs time with a stopwatch, consumes material from the warehouse with its batch, attaches photos and collects the signature. Everything queues and syncs once signal returns; if an action fails, it stays flagged with its reason instead of getting lost.

The alternative — jotting it on a sheet and typing it up later — always produces the same thing: rounded values, understated hours, and material that shows up weeks later.

Cleaning, which is also maintenance

In food production there’s a category of work that doesn’t fit classic preventive maintenance and often ends up outside the system entirely: scheduled cleaning and disinfection of lines and equipment.

It’s managed just like any other round: a checklist attached to the line or its family, periodicity, and the checklist with the points to verify and their values where relevant. The benefit of bringing it into the system isn’t organizational, it’s evidentiary: it ends up in the same history as everything else, with its date, owner and signature, and it comes up in the same file when an audit arrives.

The same applies to pest control when handled by an external company: it’s set up as a provider and its job reports get recorded alongside everything else, instead of in a separate folder you have to go hunting for.

What to look at afterward

The reports used most in food production are annual plan executed, anomalies — which equipment concentrates them — downtime, and cost per equipment.

The anomalies report is the most useful: if temperature deviations repeat in the same unit and the same time window, the problem isn’t the treatment, it’s the equipment or the workload it’s carrying.

If you have several plants or several sites

The checklist gets defined by family and rolled out across all sites; reports get reviewed per plant to see which ones concentrate the issues; and external providers are set up so their work gets recorded just like in-house work, with their time and signature.

If you’d like to see it with your facility and your recording protocols, you can request a demo or write to us.