In many plants, availability and performance are visible in real time, but quality is still buried in paper reports or delayed end of shift summaries. Scrap and rework are calculated days later, which means actions come late and often miss the root cause. When quality losses are tracked directly inside your OEE, at the machine and shift level, you can react while the problem is happening, not after the fact.
Fabrico brings quality into the same environment as production and downtime data. The platform captures signals directly from machines, combines them with operator inputs and gives you a single view of availability, performance and quality. This helps plant managers, operations and maintenance teams align on one version of truth for OEE, instead of reconciling spreadsheets and handwritten notes.
Scrap is usually the most visible quality loss, yet many manufacturers cannot say with confidence which machine, shift or product is driving it. Fabrico lets you track scrap at the source. Each machine's output and rejects are recorded in real time, tied to the active work order, product and shift.
Operators can classify scrap with standardized reasons, such as material defect, setup error or equipment issue. Because the platform already records downtime, speed losses and microstops, you can quickly see if scrap spikes are linked to changeovers, maintenance events or specific process parameters. This gives operations teams a clear line of sight from scrap to root cause.
If you work in a high variation environment, such as metal fabrication with many short runs and changeovers, this machine level view is especially important. You can learn more about applying OEE and quality tracking in these contexts in this article on OEE for metal fabrication.
Rework often hides in standard hours and efficiency metrics. Finished goods eventually ship, so the cost of rework and its impact on OEE quality is underestimated. Fabrico treats rework as a specific quality loss, not as normal production time.
When operators log rework, it is attached to the machine, shift, product and reason. This brings rework into the OEE calculation under the quality component, so you can see how much productive capacity is being consumed by doing the same job twice. Maintenance and engineering can then focus on the assets and processes that generate the most rework, instead of chasing anecdotal issues.
First pass yield is a powerful indicator of process health, but in many plants it is reviewed monthly or weekly at best. By the time a trend is visible, the damage has already been done. Fabrico turns first pass yield into a real time metric, updated at the machine and shift level.
The platform calculates first pass yield based on good pieces produced without rework or reinspection. Because it is linked to live production data, you can see FPY dropping during the shift on a specific machine or product. Supervisors can react immediately, for example by checking a setup, reviewing operator instructions or requesting support from maintenance.
For a deeper dive into how quality fits into the OEE formula and how to interpret the quality component, you can explore this guide on OEE and quality.
Plant level OEE and FPY are good for high level reporting, but they are not actionable enough for daily management. The real value comes from knowing which machines and shifts are driving losses. Fabrico gives you views filtered by line, cell, machine, shift, product and order, so you can answer questions such as:
This level of detail supports targeted actions instead of broad, unfocused initiatives. It also creates a factual basis for discussions between production, quality and maintenance.
Capturing quality data is not enough. Teams need a practical way to act on it. Fabrico helps turn every significant loss, whether scrap, rework or FPY drop, into structured actions for both production and maintenance.
Because maintenance management is built into the platform, you can create and prioritize work for maintenance directly from quality events. For example, recurring scrap on a particular press can trigger an inspection task for tooling or alignment. Similarly, recurring rework due to setup issues can drive updates to standard work or operator training. This ensures that quality problems generate follow up, not only reports.
Supervisors and operators need simple, clear visuals to react quickly. Fabrico provides dashboards on the shop floor that show OEE, scrap, rework and first pass yield for each machine and shift in near real time. Operators see the immediate impact of their actions, which encourages quicker escalation when something is off.
Instead of waiting for end of shift reports, team leaders can monitor trends during the shift. If scrap climbs above a defined threshold, they can investigate immediately, adjust settings or call maintenance before an entire batch is compromised. This creates a more proactive culture around quality and reduces surprises at the end of the day.
When different functions use different tools and data sets, it is difficult to agree on priorities. Fabrico offers a shared view of production, downtime and quality, including scrap, rework and FPY, so all teams work from the same information.
Operations can see how quality losses affect throughput. Quality can trace issues back to specific assets, shifts and conditions. Maintenance can see which machines generate the most quality related work. This creates a natural alignment around which problems to address first and where to invest time and resources.
Moving quality tracking into your OEE environment is not just about better reports. It changes how you run daily meetings, reviews and continuous improvement activities. With Fabrico, daily production meetings can focus on a small set of facts: where quality losses occurred yesterday, what is happening right now on critical assets and which actions are planned or in progress.
If you want to see how live OEE, including quality and losses, supports day to day decision making, you can explore this overview on smarter manufacturing with Fabrico OEE.
Fabrico is a cloud based MES and OEE platform that connects to machines to collect production, downtime and quality data. It combines automated machine signals with human inputs from operators and supervisors. The built in maintenance management capabilities allow you to move from tracking losses to planning and executing work to reduce them.
The platform is designed for mid size and large manufacturers that need a scalable way to monitor OEE, including quality, across multiple lines and plants. It is flexible enough to work with both highly automated lines and more manual, job shop style operations.
If you want to bring scrap, rework and first pass yield into one clear view inside your OEE, at the machine and shift level, Fabrico can help.
See how Fabrico unifies OEE and maintenance in one platform.
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