The operating problem
Run status alone hides slow-cycle losses. A machine can be running while output falls behind target because cycle time drift, micro-stops, or blocked flow are not visible in time.
What happens without this system
- Lines show as running while actual pace drifts below target.
- Short stops and slow cycles are not separated from normal variation.
- Supervisors discover cycle-time loss after output is already behind.
- Daily meetings review missed quantities without seeing where pace was lost.
What the system makes visible
- Run/no-run state by asset or line
- Actual cycle time compared with expected cycle time
- Short stop and slow-cycle windows during the shift
- Pace loss by product, asset, and operating window
- Shift-level cycle-time drift that needs review
Decisions it supports
- Which asset is running but producing below expected pace?
- Which cycle-time drift needs correction during the current shift?
- Which short stops should be treated as recurring production loss?
- Which line needs escalation before the schedule slips?
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.