🧭 Follow-Up Recommendations

Which team needs attention, in which area, and with whom — with the evidence behind each finding

🔍 KPI Analysis
🏠 Overview ›👤 Redah
RUNS ANALYSED
12
816 Units
ACTUAL REJECTION
6.6%
their own output
EXPECTED REJECTION
7.0%
for their model mix
GAP VS EXPECTED
-0.4
percentage points
🧭
Assessment
Compared like-for-like against the models they were assigned
⚪ Within the expected range. Redah performs in line with the rejection expected for the models they were assigned. No follow-up needed on quality grounds.
⚖ Rejection here is measured against the models this person was actually assigned, not a plant-wide average. Someone given harder models should not appear worse for running them. Figures cover a single import period and reflect output only — they do not capture experience, shift conditions, or workload.
🧩
Models Run
Their result on each model against everyone else's result on the same model
ModelMachine Runs TOTAL PRODUCTION Their Rejection Model Baseline DifferenceOEE
Style 640-17 5H 5 386 3.9% 5.0% -1.1 73%
R69 -18 ET-40-57 3 258 7.4% 8.0% -0.7 75%
222-18 5H 2 90 12.2% 12.2% +0.0 65%
777-17 5H 1 77 9.1% 7.3% +1.8 0%
444-17 5H 1 5 40.0% 6.1% +33.9 0%
🏭
Machines Operated
Where they worked, and how each machine performed
M/C No.Machine Runs TOTAL PRODUCTIONRejection % Total DowntimeOEE
6 3 130 9.2% 60 min 61%
4 3 258 7.4% 120 min 75%
7 3 285 3.5% 190 min 82%
14 1 77 9.1% 0 min 0%
5 1 5 40.0% 0 min 0%
15 1 61 6.6% 0 min 67%
⏱
Downtime by Reason
Downtime recorded during their runs
ReasonMinutesShare of Downtime
Metal Pouring & Dross Cleaning 150 min 40.5
Elec 100 min 27.0
Trouble Shooting 90 min 24.3
Over Cycle Time 30 min 8.1