OEE for aerospace manufacturing is harder than in high-volume plants. Runs are short, part mixes are wide, and changeovers eat the schedule.
Aerospace lines rarely run the same part for long. A five-axis cell might machine a titanium bracket in the morning and an aluminum rib by lunch.
That mix makes a single ideal cycle time meaningless. Availability and performance get distorted by frequent setups and first-article inspection.
When changeovers are frequent, lumping setup into downtime makes availability look terrible and tells you nothing actionable.
You need setup tracked as its own loss category, measured against a realistic changeover target per part family.
A scrapped aerospace forging is worth far more than a stamped consumer part. A small quality-loss percentage can dwarf every other loss in dollar terms.
Fabrico's Native OEE is built for exactly this environment. It captures availability, performance, and quality per part and per run, not just per shift.
Setup and changeover are logged as distinct states, so planners see whether the constraint is the machine or the changeover discipline.
Fabrico's Computer Vision with Inefficiencies Zoom-In watches the cell directly. It flags micro-stops, idle spindles, and slow cycles that never make it into a manual log.
On low-volume work, those untracked minutes are often where the real OEE gap lives.
The Interactive Planning Board lets schedulers sequence high-mix jobs to minimize changeovers between part families.
The Fabrico AI Agent then surfaces the next best improvement, so engineers spend time fixing losses instead of compiling spreadsheets. See how Fabrico measures aerospace OEE without the manual overhead.
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