OEE78.5%
88% A · 91% P · 98% Q
Quality Rate98%
Current Shift · site dataset
Utilization84%
Current Shift · site dataset
Total Downtime10h 14m
Current Shift · site dataset
Machines Needing Attention3
View details
Order15
Production orders
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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%
View downtime

Production Trend (vs Target)

Actual compared with production plan

ActualTarget
07:0009:0011:0013:0015:00
View performance

Top Machines by Downtime

Highest current-shift loss first

W012h 18mCritical
W991h 26mHigh
W031h 8mHigh
K131h 3mMedium
K1255mMedium
View machines

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 3 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