Production Command Center
💰 Financial Summary
ROI🤖 AI Insight
TOP PRIORITY📊 OEE Trend — All Lines
Target ≥85%Trends — KPI Over Time
Aggregate Delta Improvement
—
from Progress Tracker
Realized ROI
$0
from completed projects
Success Velocity
0
projects reached Verified
📊 Impact Step-Up — Baseline vs Post-Intervention
per project🔧 CI Pipeline — Project Phase Gates
0 projects📈 OEE % — Shift by Shift
Target ≥85%
🏭 Throughput — Units / Hour
Target ≥100 u/hr
✅ First Pass Yield %
Target ≥95%
⏱️ Downtime % —
Limit ≤5%
Analytics — Engineering Consulting Intelligence
📊 OEE Gap Analysis — Performance vs Target
—🔍 4-Big-Losses — Availability × Performance × Quality
Stacked by line🗂️ Performance Matrix — OEE by Line & Shift
—📉 Downtime vs OEE Correlation
R²=—📈 Throughput vs FPY Correlation
R²=—🎯 Strategy vs Reality — KPI Scorecards
per production line🤖 AI Engineering Consultant — Strategic Recommendations
AIAI-Powered Alerts
Loading...AI Suggestion: Create 3 More Action Plans
(1) May 16 downtime root cause · (2) Line A morning FPY improvement · (3) Line A Scrap Rate reduction
AI SUGGESTED
Weekly Report
📊 Weekly OEE
OEE Heatmap
🗓️ Line — Daily OEE Performance
Low
High
Daily Operations Report
📅 May 17, 2026
Showing all shifts for selected date
🕐 Shift-by-Shift Performance
| Shift | Line | OEE % | Throughput | Downtime | FPY % | Avail. | Perf. | Quality | Status |
|---|
⚙️ OEE by Shift
May 17📊 KPIs Snapshot
🤖
Daily AI Analysis
May 17, 2026
Select a date to see AI analysis.
Monthly Analysis — May 2026
⚙️
Best OEE (Month)
88.35%
⚙️
Worst OEE (Month)
62.7%
📊
Avg OEE (All Lines)
79.4%
⏱️
Avg Downtime
5.4%
📈 OEE Trend — Full Month
May 2026
🏭 Throughput Trend
units/hr
📋 Complete Monthly Log — All Shifts
| Date | Line | Shift | OEE % | Throughput | Downtime | FPY % | Availability | Performance | Quality |
|---|
📊 Monthly KPI Summary — Line A vs Line B
🤖
Monthly AI Executive Summary
May 2026 · Partial data (May 15–17)
Performance Overview: May 2026 shows mixed results. Line B is the star performer with a stable OEE of 86.11% and the highest throughput of 110 u/hr recorded this month. Line A has high variance — ranging from a critical 62.7% to an excellent 88.35%, indicating process instability rather than capability limitation.
Key Risk: Average Downtime for Line A = 8.3% (target ≤5%). This single metric is responsible for most OEE losses. Root cause investigation is the highest priority action this month.
Recommendation: Implement the May 17 morning shift protocol as the standard SOP for all Line A shifts. Expected improvement: +10–15% OEE.
Key Risk: Average Downtime for Line A = 8.3% (target ≤5%). This single metric is responsible for most OEE losses. Root cause investigation is the highest priority action this month.
Recommendation: Implement the May 17 morning shift protocol as the standard SOP for all Line A shifts. Expected improvement: +10–15% OEE.
📈 Monthly OEE Target
79.4% vs 85% target
🔴 Biggest Gap
Downtime Line A avg 8.3%
🏆 Best Performance
Line B Stable ✅
💡 Action Required
3 Plans Pending creation