The operating problem
OEE is often reviewed as a delayed percentage instead of a live loss structure that supports intervention during production.
What happens without this system
- Availability, performance, and quality losses are reviewed only after the shift.
- Teams discuss low OEE percentages without enough loss context to recover output.
- Stop patterns are not compared consistently across lines and shifts.
- Ownership for recurring production losses stays unclear.
What the system makes visible
- Availability, performance, and quality losses by line and shift
- Stop reason structure with duration and recurrence context
- Recoverable time ranked by operational impact
- Open recovery actions with owner, due timing, and status
Decisions it supports
- Which loss should be reviewed first in the daily production meeting?
- Which line lost the most recoverable time this shift?
- Is the main issue availability, speed, quality, or handover execution?
- Which recurring loss needs an owner before the next shift?
What this is not
This is not a generic dashboard template. Innovomind shapes each system around the operating problem, the information teams need to trust, and the decision the plant needs to improve.