Follow-Up Recommendations

📋

Team D — What to follow up on

👤 Ali

⏱

Downtime above plant average 🔴 High

70 min/run vs 48

Total 5,670 minutes lost — 70 min per run against a plant average of 48. Review shift start-up routine and how quickly issues get escalated.

⏱

Downtime cause concentrated in this team 🔴 High

Elec — 1,010 min (61% of plant total)

This team accounts for 61% of all "Elec" downtime in the plant. Because the other teams do not share it at this level, it is likely a practice or handover issue rather than an equipment fault.

⏱

Downtime cause concentrated in this team 🔴 High

Mech — 980 min (62% of plant total)

This team accounts for 62% of all "Mech" downtime in the plant. Because the other teams do not share it at this level, it is likely a practice or handover issue rather than an equipment fault.

✨

Rejection above plant average 🟡 Medium

8.1% vs 6.8%

This team rejects 8.1% of output against a plant average of 6.8%. Check mold handling, pouring practice, and NDT feedback loops for this crew.

📉

OEE below plant average 🟡 Medium

65.3%

Running 4.4 points below the plant. See which of the three components (A / P / Q) is dragging it down.

🏭

Underperforming on a shared machine 🟡 Medium

M/C No. 14 — Rejection % 9.5% vs 5.2% · OEE 51% vs 71%

On machine 14 (7 runs) this team rejects 9.5% against 5.2% for other teams on the SAME machine. Same equipment, different result — so the gap points to method, not the machine.

🏭

Underperforming on a shared machine 🟡 Medium

M/C No. 15 — Rejection % 13.0% vs 9.2% · OEE 55% vs 68%

On machine 15 (11 runs) this team rejects 13.0% against 9.2% for other teams on the SAME machine. Same equipment, different result — so the gap points to method, not the machine.

👤

Operator needs support 🟡 Medium

Sulaiman Mohammed Al Abri — 9.3% vs 6.0% expected (+3.4)

Sulaiman Mohammed Al Abri runs 3.4 points above the rejection expected for the models they were actually assigned, across 10 runs. Worth a conversation and a look at technique.

🔍 Full analysis for this person

👤

Operator needs support 🟡 Medium

Khalifa Rashid Abdulla Al Kaabi — 9.7% vs 6.9% expected (+2.7)

Khalifa Rashid Abdulla Al Kaabi runs 2.7 points above the rejection expected for the models they were actually assigned, across 12 runs. Worth a conversation and a look at technique.

🔍 Full analysis for this person

👷

Team Operators

Each operator against the rejection expected for the models they actually ran

Employee	Machine Runs	TOTAL PRODUCTION	ACTUAL REJECTION	EXPECTED REJECTION	Difference	Status
Sulaiman Mohammed Al Abri	10	590	9.3%	6.0%	+3.4	🟡 Medium	›
Khalifa Rashid Abdulla Al Kaabi	12	755	9.7%	6.9%	+2.7	🟡 Medium	›
Leonardo Olvera	24	1,420	7.3%	6.3%	+1.0	✓ as expected	›
Sami Ali Salim Al Shibli	7	442	7.7%	7.3%	+0.4	✓ as expected	›
Mohammed Juma Al Jabri	18	1,211	6.7%	6.6%	+0.0	✓ as expected	›

Date	Shift	Machines	TOTAL PRODUCTION	Rejection %	Total Downtime	OEE
2026-07-28	Night	2	77	0.0%	0	20.5%	🔍
2026-07-12	Night	6	324	12.3%	330	50.3%	🔍
2026-07-13	Night	4	333	9.6%	120	50.6%	🔍
2026-07-29	Night	9	309	4.9%	780	55.4%	🔍
2026-07-26	Day	6	482	18.3%	690	58.5%	🔍
2026-07-18	Day	6	356	3.9%	540	63.6%	🔍

🧭 Follow-Up Recommendations