What Is Production Loss Analysis?

Key takeaways

See our roundup of monitoring systems that surface this data.

• Production loss analysis is the practice of finding where planned output is lost and why, so the biggest losses get attacked first instead of the loudest ones.
• The classic frame is the six big losses: breakdowns, setup and changeover, minor stops, reduced speed, startup defects, and production defects. They map cleanly onto the three parts of OEE.
• Most of the hidden loss is not in dramatic breakdowns. It is in minor stops and small speed reductions that no one logs because each one is tiny, yet together they dominate.
• The analysis is only as honest as the data. If losses are estimated at the end of the shift, the small recurring ones disappear and the picture is wrong.

What production loss analysis is

Every line has a theoretical maximum: if it ran at full speed, with no stops and no defects, for all the time it was scheduled, how much would it make? Production loss analysis is the structured accounting of the gap between that maximum and what actually came out, broken down by cause so you know what to fix first.

Without it, improvement effort chases whatever failed most recently or most visibly. With it, effort goes to the losses that actually cost the most output, which are often quiet.

The six big losses

The standard framework sorts losses into six categories, grouped by which part of OEE they hit:

• Breakdowns (availability loss). Unplanned stops from equipment failure.
• Setup and changeover (availability loss). Time the line sits idle switching products.
• Minor stops and idling (performance loss). Short stops, jams, and blocks, usually under a few minutes each.
• Reduced speed (performance loss). The line running slower than its rated rate.
• Startup defects (quality loss). Scrap produced while a line stabilises after a start.
• Production defects (quality loss). Scrap and rework during normal running.

How it maps to OEE

The six losses are the detail behind the OEE headline. Breakdowns and changeovers pull down availability; minor stops and reduced speed pull down performance; startup and production defects pull down quality. OEE tells you the score; loss analysis tells you which of the six is costing you the points. The pillar on OEE for manufacturing covers the calculation, and manufacturing KPIs covers how it sits among other metrics.

Where the loss actually hides

Teams expect the big number to be breakdowns, because breakdowns are dramatic and get attention. In practice, minor stops and small speed losses are often the larger total, precisely because no single event is big enough to log. A line that loses ninety seconds twenty times a shift bleeds more than one that breaks down once. Surfacing that requires automatic capture; manual logs miss it. See downtime versus uptime and automatic downtime tracking.

Turning losses into action

A loss analysis that ends in a chart is wasted. Each major loss should lead to a specific intervention: a changeover that becomes a standard work routine, a recurring minor stop that becomes a root cause investigation, a breakdown pattern that becomes a preventive task. The point is always the next action, not the report.

How Fabrico fits

Fabrico captures every stop automatically, including the short minor stops manual logging misses, and attaches the true cause using computer vision, so the loss breakdown reflects what actually happened rather than what someone remembered. Because OEE and CMMS share one platform, a loss pattern becomes a work order or a preventive task without leaving the system. Fabrico is built and hosted in the EU with data residency in mind and is ISO 27001 certified. To see your six big losses on real data, book a demo.

Related reading

• OEE for manufacturing
• Manufacturing KPIs
• Production monitoring systems
• Root cause analysis

Frequently asked questions

What are the six big losses?

Breakdowns, setup and changeover, minor stops and idling, reduced speed, startup defects, and production defects. The first two reduce availability, the next two reduce performance, and the last two reduce quality, which are the three components of OEE.

How is production loss analysis different from OEE?

OEE is the summary score. Production loss analysis is the breakdown of why the score is what it is, sorted by cause, so you know which loss to attack first. You need OEE to know where you stand and loss analysis to know what to do.

Which loss is usually the biggest?

Often minor stops and reduced speed, not breakdowns, because each small event is too minor to log but they accumulate. That is why automatic capture matters; manual logging systematically undercounts the losses that hurt most.

How do we start?

Capture stops and their reasons accurately, group them into the six categories, and rank by total time lost. Attack the largest category first, confirm it dropped, then move to the next. Honest data first, then the framework.