Follow-Up Recommendations

🏠 Overview ›👤 Muhanad Abdullah Ali Al Moqbali

RUNS ANALYSED

1,137 Units

ACTUAL REJECTION

7.2%

their own output

EXPECTED REJECTION

6.5%

for their model mix

GAP VS EXPECTED

+0.8

percentage points

🧭

Assessment

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

⚪ Within the expected range. Muhanad Abdullah Ali Al Moqbali 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	8	535	5.2%	5.0%	+0.2	75%
Style 640-15 4H	1	121	4.1%	11.5%	-7.4	98%
666-17 5H	2	108	8.3%	5.5%	+2.9	76%
R69-18 ET-25-35	2	96	6.3%	3.9%	+2.3	57%
SMX201X-22	1	81	3.7%	9.5%	-5.8	84%
R62 ET- 45-52	2	71	26.8%	7.0%	+19.8	51%
BORO112-18	1	66	16.7%	11.0%	+5.7	41%
777-18 5H	1	59	1.7%	5.0%	-3.3	96%

🏭

Machines Operated

Where they worked, and how each machine performed

M/C No.	Machine Runs	TOTAL PRODUCTION	Rejection %	Total Downtime	OEE
16	4	174	12.1%	0 min	68%
6	4	291	4.8%	120 min	80%
14	3	177	5.1%	30 min	66%
4	3	217	6.0%	240 min	67%
7	2	93	12.9%	240 min	60%
5	1	64	12.5%	0 min	79%
15	1	121	4.1%	0 min	98%

⏱

Downtime by Reason

Downtime recorded during their runs

Reason	Minutes	Share of Downtime
Rework systemic	420 min	66.7
Metal Pouring & Dross Cleaning	90 min	14.3
Trouble Shooting	60 min	9.5
Startup Loss / Specific Gravity Issue (min)	60 min	9.5

🧭 Follow-Up Recommendations