Downtime Distribution (by reason)
Current shift · traceable reasons
10h 14mTotal
No order2h 18m · 22%
Parts replacement1h 26m · 14%
Excessive machine heat1h 8m · 11%
Warp not ready1h 3m · 10%
Electrical fault55m · 9%
Warp beam change46m · 7%
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Executive Overview
Real-time summary of your factory performance. Build the decision surface around the charts and agents relevant to your role.
88% A · 91% P · 98% Q
Quality Rate98%Current Shift · central dataset
Utilization84%Current Shift · central dataset
Total Downtime10h 14mCurrent Shift · central dataset
Machines Needing Attention6View details
Order15Production orders
Key Insights
Explainable summaries based on the selected simulation scope
Downtime concentration needs reviewThe largest current-shift losses are concentrated in a small number of verified stop events.Review downtime ›6 machines need attentionStopped, alarm or offline machines are surfaced for focused investigation.View machines ›Production trend is below targetSimulation shows the actual production curve trailing the planned target.View production ›Prototype KPI model is activeOEE, Quality Rate and Order use the same FDE formula and dataset context.Review data ›