When a line stops, you lose more than production. You often lose the exact context of why it happened, which asset was at fault, and what was happening on the line at that moment. By the time a maintenance work order is created in a separate tool, the connection to the original OEE loss is already weakened or gone.
This is the core weakness of running separate MES, OEE and maintenance tools. The data link from downtime event to maintenance action is fragile. Copy and paste, manual codes and delayed data entry introduce gaps. In a plant that runs hard every shift, those gaps show up as recurring failures, unreliable OEE numbers and maintenance backlogs that never seem to shrink.
Fabrico takes a different approach. It is a single cloud-based MES and OEE platform, with maintenance management built in as part of the same environment that captures production and downtime data. The same place where OEE losses appear in real time is where maintenance work orders are created, prioritized and closed. As a result, every maintenance action can stay tied to the exact OEE loss that triggered it.
In a typical Fabrico deployment, the platform connects directly to machines and lines through PLCs, industrial PCs or other data sources. It collects signals such as cycle counts, states, speeds and alarms in real time. From these signals, it identifies when a machine is running, idle, starved, blocked or down, and it calculates OEE on the fly for each asset, line and shift.
When a downtime event occurs, the platform records:
Because maintenance is part of the same platform, this downtime event can be turned into a maintenance action without leaving the environment. There is no need to retype data, export spreadsheets or re-create the event in another system. The detailed OEE loss record becomes the entry point for the work order.
Once Fabrico detects that a machine has moved into a down state, it automatically starts a downtime event. The system links it to the correct asset and production context and begins timing the loss in real time.
The operator or supervisor can then select or confirm the root cause using a reason tree. In many cases this can be streamlined by using data from PLCs and machine alarms, as described in more depth in the article on connecting PLCs to maintenance automation. The result is a rich downtime record that the platform can use to drive both continuous improvement and maintenance.
Not all downtime events should become work orders. Some are changeovers, planned micro stops or quick adjustments that do not involve maintenance. Others indicate equipment degradation, safety concerns or recurring minor stops that point to an underlying technical issue.
Because OEE, production context and maintenance are integrated, Fabrico can support several ways to decide when to trigger a maintenance action:
This decision happens directly on the OEE and downtime views, so the person making it sees the full operational context at a glance.
Once a downtime event is selected for maintenance, the platform uses the event data to prefill a work order. Typical information that flows automatically includes:
The maintenance planner or supervisor can then refine the description, add tasks, parts or required skills and assign the work order to the right technician. Importantly, the work order and the original downtime event are permanently linked. Anyone viewing the work order can navigate back to the OEE record that spawned it, and anyone looking at the downtime event can see the associated maintenance actions.
Technicians execute the work order using the same platform that operations uses for OEE and production tracking. They can record labor time, parts usage, findings and resolution details against the work order. When they complete the job, the platform updates the maintenance history of the asset and preserves the link back to the original OEE loss.
This makes after action review much easier. When you review OEE performance for a line, you can open significant downtime events and see exactly what maintenance work was done in response. When you review asset maintenance history, you can see which jobs originated from OEE events and how they affected performance indicators over time.
Many manufacturers try to connect a standalone MES or OEE tool with a separate maintenance system. On paper this seems straightforward. MES records the downtime, CMMS handles the maintenance. In practice, the link between the two systems is fragile and often breaks in daily use.
In a separate tool setup, operations staff often must retype information from MES into the maintenance system. Even with partial integrations, long descriptions, operator comments and nuanced context are rarely transferred in full. This leads to:
Over time, this erodes the value of both your OEE data and your maintenance history. Repeat failures look like separate incidents. Decisions about spares, PM strategies or replacements are made with incomplete information.
When MES and maintenance are separate, there is usually a time delay between the downtime event and work order creation. An operator logs a stop in MES, then later a supervisor copies the information into the maintenance system. In some cases this happens hours or days later.
In that gap, production may resume, the line may change products and the maintenance team may already have intervened informally. When the work order is finally created, it no longer reflects the true duration and impact of the original OEE loss. This makes it difficult to answer questions such as:
Some plants attempt a point to point integration, for instance pushing downtime records from MES into maintenance via API or file transfers. While this can help, it often struggles with:
As the integration breaks in these edge cases, operators and planners fall back on workarounds like spreadsheets or manual entry. The plant slowly drifts back into a situation where OEE and maintenance live in separate data worlds.
When production, OEE and maintenance exist inside one platform, the impact is felt across operations, engineering and continuous improvement.
For plant and production managers, an integrated platform means OEE dashboards that do more than highlight losses. Every significant downtime bar is effectively a doorway into a specific maintenance and improvement story. Instead of debating which issues matter most, you can see which losses already have maintenance actions associated with them, which ones recur without intervention and where you are still relying on quick fixes.
The platform also supports different plant realities. For example, continuous process manufacturers have different challenges than discrete assembly lines, such as cascading effects and complex availability definitions. These are explored further in the context of integrated tools in the article on maintaining continuous process plants with OEE visibility.
For maintenance and reliability leaders, the value lies in a maintenance history that is automatically enriched with OEE context. Each work order can carry:
This makes it easier to justify changes to PM plans, request capital investments or adjust spares strategies. Instead of saying an asset fails frequently, you can point to the cumulative production time that specific failure modes have cost, and the maintenance hours already invested in keeping it running.
For continuous improvement managers, integrated OEE and maintenance data means improvement projects are grounded in a single source of operational truth. When you lead a line performance review, everyone sees the same data:
Because downtime events, OEE metrics and maintenance actions share the same identifiers and time stamps, you can run analyses that are very hard to do across separate systems. For example:
Not every combination of OEE and maintenance tools delivers this level of connection. Some are loosely integrated products, others are separate applications with partial data sync. When evaluating options, it helps to ask:
The article on selecting maintenance tools with OEE integration looks at these questions from a tooling perspective. Fabrico brings them together in a single cloud-based environment that runs across lines, plants and regions, while remaining focused on making the link between losses and actions visible and usable in daily operations.
Ultimately, the goal is not just to measure OEE accurately, or to manage maintenance efficiently in isolation. The goal is to ensure that every significant loss on your lines turns into well targeted, data backed actions that prevent that loss from recurring.
Fabrico keeps downtime data alive along that entire journey. It captures OEE and loss information directly from machines, links it to operators and production context, converts selected losses into maintenance work orders inside the same platform, and preserves those links in the asset history. This gives plant leaders a clear line of sight from the OEE numbers on the dashboard to the work actually happening on the floor.
If you want to keep the connection between OEE losses and maintenance work orders intact from the moment a machine stops to the moment the problem is solved, an integrated environment matters far more than any individual feature.
Contact us to discuss your specific lines and plants, or Request a demo to see how a single platform can keep your downtime and maintenance data working together in real time.
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