🏠 Overview ›👤 Ali Humaid Ali Al Maaqbali
RUNS ANALYSED
8
569 Units
ACTUAL REJECTION
12.1%
their own output
EXPECTED REJECTION
7.6%
for their model mix
GAP VS EXPECTED
+4.6
percentage points
🧭
Assessment
Compared like-for-like against the models they were assigned
🔴 Needs follow-up. Ali Humaid Ali Al Maaqbali is 4.6 points above expectation — 12.1% actual against 7.6% expected for their model mix. The gap is large enough that it is unlikely to be assignment alone. Start with technique and training rather than assuming carelessness.
⚖ 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 2 189 12.2% 5.0% +7.1 70%
R62 ET- 45-52 2 104 10.6% 7.0% +3.6 46%
R69 -18 ET-40-57 1 95 8.4% 8.0% +0.4 90%
R69-18 ET-25-35 1 92 7.6% 3.9% +3.7 0%
777-17 4h 1 56 30.4% 23.7% +6.6 49%
666-17 5H 1 33 9.1% 5.5% +3.6 50%
🏭
Machines Operated
Where they worked, and how each machine performed
M/C No.Machine Runs TOTAL PRODUCTIONRejection % Total DowntimeOEE
4 2 187 10.7% 50 min 79%
16 2 104 10.6% 30 min 46%
15 1 56 30.4% 10 min 49%
14 1 92 7.6% 0 min 0%
6 1 97 11.3% 90 min 71%
5 1 33 9.1% 20 min 50%
⏱
Downtime by Reason
Downtime recorded during their runs
ReasonMinutesShare of Downtime
Elec 110 min 55.0
Elec & Mech 60 min 30.0
Metal Pouring & Dross Cleaning 30 min 15.0