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Manufacturing / Production

Line schedules. Downtime causes. Yield variance.

The problem

What was breaking.

Downtime gets logged, but root cause never gets categorized. Same fault keeps recurring across shifts.

Production planning runs on a separate ERP from quality logs. Variances surface a day late.

OEE reports take 36 hours to generate. Operators are running by gut, not by data.

What we did

The moves.

  • Connected line PLCs, the MES, and the QC system through Apogee's gateway.
  • Forensic auto-classifies downtime by root cause: process gap, system failure, external.
  • Predictive forecasts next-shift OEE with confidence intervals. Operators stage adjustments.
  • Observatory surfaces yield drift per cell — the chartreuse heatmap, not a weekly PDF.
Results · first 90 days

The numbers.

OEE LIFT
+4.6pt
first 90 days
DOWNTIME RCA
100%
classified within 14m
MTTR
−38%
vs prior baseline

We've had visibility into downtime forever. We finally have visibility into the reason. APO sorts every event into a bucket we can act on.

Mei T.
Plant Manager

Have a lifecycle in Manufacturing / Production?

Bring it. We'll wire APO in read-only against it for 30 days.