Enginuity Operations

VP of Operations View

Data as of: 07:00 AM (Nightly Drop: E2 Shop System)

CFO Visibility: All metrics feed the CFO Command Center

System Synced

CFO Link: Operations KPIs are the single largest driver of Margin Variance and Cash Conversion Cycle. Every hour of unplanned downtime and every idle WIP day is a direct EBITDA leak.

Overall Equipment Eff. (OEE)

→ Margin
71% vs 85% target

World class: 85%+

Throughput (Jobs/Day)

→ Revenue
8.2 ↓ 0.6

Target: 9.0 jobs/day

On-Time In-Full (OTIF)

→ Revenue
82% vs 95% target

7 late deliveries this month

Capacity Utilization

→ Margin
87% ↑ 2%

Sweet spot: 80–90%

Deep Dive: Overall Equipment Effectiveness (OEE)

OEE = Availability × Performance × Quality. At 71%, the shop is leaving 14 points of productive capacity on the table vs. world-class benchmarks.

Availability
88%
Downtime events: 14 (MTD)
Performance
92%
Speed loss: minor
Quality
87%
Rework/scrap events: 18

AI Recommendation

Quality is the OEE anchor (87%). The Engineering dashboard has already identified TIG Weld Bay as the source. Fix FPY in Weld, and OEE jumps from 71% to an estimated 76% — adding the equivalent of 0.4 productive shifts per week without adding headcount. At current revenue per labor hour, that is $182,000/year in recovered throughput value.

Deep Dive: Throughput

Jobs completed per day. The most direct operational lever for top-line revenue growth.

Throughput by Routing Bottleneck

  • TIG Weld Bay⚠ Bottleneck
    91% queue utilization — jobs waiting avg 1.8 days
  • CNC Machining✓ Clear
    62% queue utilization — normal range
  • Assembly⚠ Watch
    78% queue utilization — trending up

AI Recommendation

TIG Weld is the system constraint (Theory of Constraints). Every other routing runs faster than Weld can clear. Scheduling a second weld shift (4 hours, 3x/week) clears the current backlog in 11 days and unlocks 0.6 additional jobs/day — returning throughput to the 9.0 target and adding $1.4M annualized revenue at current ASP.

Deep Dive: On-Time In-Full (OTIF)

OTIF is the single metric your customers grade you on. At 82%, you are 13 points below target. Every late delivery is a retention risk and a Sales team problem.

Job / Customer Due Date Actual Ship Days Late Root Cause
WO-8830 — Apex Climate Mar 14 Mar 18 +4 days TIG Weld queue delay
WO-8824 — MedTech Mar 10 Mar 12 +2 days Material delivery delay

AI Recommendation

5 of 7 late deliveries trace back to TIG Weld queue delay. This is not a scheduling problem — it is a capacity problem. Fixing Weld throughput resolves 71% of all OTIF failures. Immediate action: flag Apex Climate account for proactive outreach given their concentration risk status on the CFO dashboard.

Deep Dive: Capacity Utilization

At 87%, the floor is in the sweet spot (80–90%). Below 80% = underutilized overhead. Above 90% = overload risk, OTIF collapse.

Capacity by Department

  • TIG Weld96%
  • CNC Machining78%
  • Assembly84%
  • Finishing / Paint71%

AI Recommendation

TIG Weld at 96% is a system-wide risk. If the Sales team wins the Apex Climate re-order currently in pipeline (RFQ-2204, $380k), the Weld Bay hits 104% utilization and OTIF collapses entirely.

Cross-department flag sent to CFO and Sales dashboards. Do not accept this PO without either adding weld capacity or pushing the delivery date by 3 weeks.