🧭 Follow-Up Recommendations

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

🔍 KPI Analysis
🏠 Overview ›👤 Mohammed Abdullah Ahmed Al Mamari
RUNS ANALYSED
3
227 Units
ACTUAL REJECTION
3.1%
their own output
EXPECTED REJECTION
5.9%
for their model mix
GAP VS EXPECTED
-2.8
percentage points
🧭
Assessment
Compared like-for-like against the models they were assigned
🟢 Performing above expectation. Mohammed Abdullah Ahmed Al Mamari comes in 2.8 points BELOW the rejection expected for their model mix. Worth understanding what they do differently and sharing it with the rest of the crew.
⚖ 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
444-17 5H 1 94 2.1% 6.1% -4.0 100%
666-18 5H 1 84 4.8% 6.6% -1.8 95%
444-18 4H 1 49 2.0% 4.3% -2.3 88%
🏭
Machines Operated
Where they worked, and how each machine performed
M/C No.Machine Runs TOTAL PRODUCTIONRejection % Total DowntimeOEE
15 1 84 4.8% 0 min 95%
4 1 49 2.0% 0 min 88%
5 1 94 2.1% 0 min 100%