Every breakdown is a surprise, and every repair is an emergency.
The production plan assumes the machines will run, and the machines have other ideas. One stoppage pulls the supervisor off the line, sends the maintenance team into firefighting mode and puts delivery dates back on the phone for renegotiation — and by the time it is fixed, the next one is already brewing. If maintenance at your plant only ever happens after something stops, this page is for you.
—— Sound familiar?
You know this problem by these symptoms.
The morning meeting starts with which machine went down overnight, and the day's plan is redrawn before the first shift settles in.
Nobody can say when that bearing was last changed, because the machine's history lives in a worn logbook and the senior technician's memory.
The repair itself took an hour; waiting for the part took four days, because nobody knew the last spare had already been used.
A preventive maintenance schedule is pinned to the wall, and it gets postponed every week because the line cannot be spared — until the machine stops on its own schedule.
Sales is on the phone apologising for a late delivery again, and the cause is the same press that went down last month.
Reactive maintenance is not a choice anyone made — it is what happens when machine care has no system of its own. Repairs are logged nowhere, so failure patterns stay invisible; preventive work has no owner and no trigger, so it loses to production every single week; spare parts have no minimum stock, so every breakdown comes with a procurement scramble attached. Without a shared record, the plant cannot see which machines actually cost the most, and the budget conversation never gets past "fix it when it breaks."
—— The way out
How Odoo closes this gap.
Every machine gets a record, every repair leaves a trace
Odoo's Maintenance app gives each piece of equipment its own record: specifications, assigned technician, warranty, and the full log of every request ever raised against it. MTBF and MTTR are calculated from those entries, not estimated. After a few months, "which machines hurt us most" is a report you open, not an argument in the morning meeting.
Preventive work that schedules itself
Set a preventive interval on the equipment and Odoo generates the maintenance request on time, every time, straight onto the maintenance team's kanban board. Because equipment is linked to work centers, a planned stop shows up in production scheduling like any other commitment — instead of a favour the line grants when it feels generous.
Breakdowns reported from the machine, not the corridor
An operator raises a maintenance request straight from the work order tablet view at the work center — no walking off to find a supervisor, no detail lost in the retelling. The work center can be blocked so planners see immediately what is down, and the downtime is logged against it, which is exactly the data that makes each machine's true cost visible later.
Spare parts in stock, and a plan that can absorb the stop
Critical spares live in Odoo Inventory with reordering rules, so consuming the last bearing triggers a purchase order instead of next month's surprise. When a machine does go down, work orders reschedule against the remaining capacity, and the Master Production Schedule shows which delivery dates genuinely move — before anyone promises a customer anything.
—— How we run it
The transition, managed properly.
Pilot line first, whole plant later
We start with one line or the handful of machines that hurt most, build the register and the reporting loop there, and prove that requests actually flow before touching the rest of the plant. Every phase has a fixed written scope and price agreed before it starts.
The equipment register is built from your floor, not a template
We walk the plant with your technicians and load each machine with its real specifications, intervals and whatever history exists today — logbooks and memory included. The manufacturer's recommended intervals become the first preventive calendar, refined as your own data accumulates.
Training at the machine, on live requests
Operators and technicians learn on the shop floor, with their own equipment and real open requests, in Thai or English. The consultant who scoped the project stays through go-live, so nothing is lost in a handover.
—— FAQ
Questions teams ask about this problem.
Our maintenance history is in paper logbooks — or nowhere. Can we still start?
Yes — that is the normal starting point. The register begins with what exists: nameplate data, manufacturer intervals, whatever the logbooks hold. Accuracy then comes from use, because every request from day one is captured. You do not need clean history to start; you need a system that starts writing it.
Will operators actually report breakdowns in the system?
This is where the design lives or dies, so reporting is one tap on the tablet screen the operator already uses at the work center — faster than walking off to find a supervisor. If reporting through the system is harder than shouting across the floor, shouting wins; making it easier is the first condition of the rollout.
Do we need Odoo Enterprise for this?
The Maintenance app itself is part of Odoo Community, whose licence is $0. Some surrounding planning tools — the Master Production Schedule, the Quality app — sit in Enterprise. We tell you honestly which edition your case needs, and if it is Enterprise, Odoo bills you directly and we never mark it up.
How soon does downtime actually go down?
Honestly: the first weeks give you visibility, not fewer breakdowns — you finally see what fails, how often, and what each stop costs. The reduction comes as preventive schedules built on that data start replacing emergency repairs, machine by machine. We would rather promise you a trustworthy record than a percentage we have not seen your data to support.
Let's find out whether Odoo actually fits your business.
A short call, an honest answer. If it isn't the right system for you, we'll say so.