Follow-Up Recommendations

🏠 Overview ›👤 Mohammed Abdullah Al Balushi

RUNS ANALYSED

835 Units

ACTUAL REJECTION

4.4%

their own output

EXPECTED REJECTION

5.3%

for their model mix

GAP VS EXPECTED

-0.9

percentage points

🧭

Assessment

Compared like-for-like against the models they were assigned

⚪ Within the expected range. Mohammed Abdullah Al Balushi 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

Model	Machine Runs	TOTAL PRODUCTION	Their Rejection	Model Baseline	Difference	OEE
Style 640-17 5H	6	592	3.0%	5.0%	-2.0	86%
CV98-20	2	124	8.9%	6.5%	+2.4	57%
666-17 5H	2	108	3.7%	5.5%	-1.8	89%
777-17 5H	1	11	36.4%	7.3%	+29.1	25%

🏭

Machines Operated

Where they worked, and how each machine performed

M/C No.	Machine Runs	TOTAL PRODUCTION	Rejection %	Total Downtime	OEE
6	4	391	2.3%	130 min	86%
16	2	108	3.7%	0 min	89%
7	2	201	4.5%	60 min	86%
15	2	124	8.9%	170 min	57%
4	1	11	36.4%	0 min	25%

⏱

Downtime by Reason

Downtime recorded during their runs

Reason	Minutes	Share of Downtime
Metal Pouring & Dross Cleaning	120 min	33.3
Over Cycle Time	90 min	25.0
Metal Delay	60 min	16.7
Rework systemic	60 min	16.7
Trouble Shooting	30 min	8.3

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