Global Operations Intelligence
COO & CFO Executive Dashboard · USA · Spain · Singapore
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Built-in data · 216 records
Year
All
2021
2022
2023
2024
2025
2026
Month
All
Jan
Feb
Mar
Apr
May
Jun
Jul
Aug
Sep
Oct
Nov
Dec
Country
🌍 All
🇺🇸 USA
🇪🇸 Spain
🇸🇬 Singapore
Key Performance Indicators
YoY Growth Table
Year-over-year % change · all transitions use same months · last column = YTD (same period vs prior year)
💡 Green ≥+5% · Red ≤−5% · Gray = ±5% · YTD column highlighted in amber
🚨 Anomaly Flags
>15% deviation from 3-month rolling avg
Production
Production Volume Trend
Quantity (Tons) by country over time
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Pours per Month
Number of pours per site
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Pours per Working Day
Daily avg pours ÷ working days (excl. weekends & public holidays)
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Tons per Working Day
Daily avg Tons ÷ working days (Florida · Catalonia · Singapore calendars)
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Raw Materials
Raw Materials vs. Tons Shipped
Input volume vs. outbound shipment tonnage
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Raw Material Receipts
Receptions count · Quantity received (T) · Lots
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Efficiency & Automation
Automation Rate Over Time
% Automation Rate (pours) per site
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Productivity Heatmap
Monthly intensity per site — table + line charts
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Throughput Efficiency
Pours vs. Tons · bubble size = Shipments
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Country Benchmark Radar
Proportional share per metric (sum = 100% per axis)
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Shipping & Customers
Shipping Performance
Shipments per country (side-by-side) + Tons Shipped overlay
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Customer Reach
Avg active customers/month + Delivered countries
All
USA
Spain
Singapore
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Product Mix — Bases vs. Production
Col H = % Pours for Bases · Col J = % Batches for Bases
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Shipment-to-Customer Ratio
Tons Shipped ÷ Customers/Month per site
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Forecast
Forecast Projection — Quantity (Tons)
Actuals (solid) + 6-month linear regression (dashed) + 95% confidence band
USA Actual
Spain Actual
Singapore Actual
Forecast
95% CI
💡 Linear regression · 6-month horizon · 95% confidence interval
Expert Operational KPI Briefing Top 0.001%
8 derived KPIs computed from your data · findings, quick fixes & improvement levers · click to expand
Live Derived KPIs — updates with filters ↓
Data-Backed Findings & Action Items
🔴 Singapore Throughput Volatility — 3× swing · 2023 was peak; 2024 collapsed −46% Act now
Kilo/hr index (2023=100): USA 101 (flat) · Spain 145 (+45%) · Singapore 92 (−8%, volatile — was 156 in 2025)
Spain improved +32% and Singapore +253% over the same period. USA is the only plant moving backwards. Root causes to investigate: equipment age vs Spain/Singapore, operator turnover post-2022, and product mix complexity (Pours/Batch rose +6.9% = harder runs). Automation rate is flat at ~45% while Spain jumped 10% → 50%.
⚡ Quick fix — Benchmark Spain's 2023 automation programme: what was automated, at what cost, in how long?
🔴 USA Procurement Fragmentation +30% Since 2023 — a recent & reversible regression Act now
Lots/Ton: USA 7.11 (2023) → 9.21 (2026) +30% · Spain 6.48 → 5.15 (−20%) ✅ · Singapore 8.96 → 8.56 (−5%) ✅
USA receives the same raw material volume in 69% more, smaller lots than 5 years ago. Each lot requires QC sign-off, administrative handling, and storage allocation. Spain reduced theirs by 18% — this is a supplier negotiation win. A 30% reduction in USA lots/ton ≈ 2–3 working days saved/month in intake handling.
⚡ Quick fix — Call top 3 USA suppliers. Negotiate minimum lot size × 2. No capital, no process change.
🔴 Singapore Ships 6× More Than It Produces — inventory/data risk Classify now
Dec 2021: shipped 26.2 T · produced 4.3 T (6.04×) · Apr 2022: 12.8 T shipped · 2.1 T produced (6.03×)
Singapore regularly ships multiples of its monthly production. This signals either (A) a distribution hub model (ships from stock) or (B) a data timing mismatch creating P&L distortion. USA is the most consistent (avg 0.96×, max 1.29×). Until Singapore's model is formally classified, fill rate and yield KPIs are unreliable for this site.
⚡ Quick fix — Add Cumulative Inventory Buffer = Σ Produced − Σ Shipped. A negative value is a data integrity flag.
🟡 USA Over-Shipping — 2.05 shipments/customer vs Singapore 1.44 90 days
vs 2023 baseline: USA +20% (1.94→2.33) 🔴 · Spain +2% (1.55→1.58) ✅ · Singapore −1% (1.43→1.42) ✅
USA makes 42% more delivery trips per customer than Singapore. At ~290 shipments/month avg, closing the gap to Spain's 1.60 ratio eliminates ~130 shipments/month — roughly 1,500 shipments/year of pure logistics cost, zero revenue impact.
⚡ Quick fix — Implement 48-hr order consolidation window in WMS for USA customers with multiple open orders.
🟡 Spain & USA December Collapse — 39% shipment shortfall, predictable every year Plan Oct
Spain Dec index: 60.8 · USA Dec: 72.2 · Spain Mar: 114.9 · Both sites strongest in March
December underperformance is structural, not situational. Spain ships 39% fewer orders in December than its annual average, every single year. This is deferred Q4 revenue pushed into Q1. Spain's October index is 109 — production capacity exists to pre-build.
⚡ Quick fix — Brief Spain & USA sales in October: pull forward December orders. Even 20% pull-forward adds ~$Xk to Q4 revenue.
🟡 Spain Automation Plateau at 50% — next lever is batch optimisation 90 days
Spain AutoRate: 10.9% (2022) → 42.8% (2023) → 50.0% (2024) → 48.2% (2025) · Kilo/hr: 41 → 54 (+32%)
Spain's automation investment delivered a clear +32% throughput lift. But growth stalled at 50% and Kilo/hr plateaued. The next lever is batch densification (Pours/Batch +5.2% trend is correct) combined with lot consolidation (already −18%). USA's Automation Yield Premium is −7.7% — meaning automation is not translating to throughput in Florida. Investigate what is being automated and whether it is the right process.
⚡ Quick fix — Copy Spain's 2023 automation playbook to USA. Request internal knowledge transfer.
🟡 Singapore Batch Density Declining −21% — simplification or process breakdown? Root cause
Pours/Batch: 33.0 (2021) → 35.9 (2022) → 30.3 (2023) → 27.6 (2025) · Production CoV: 111% (vs USA 22%)
Singapore's batch density has declined 21% since 2022. Fewer pours per batch = more setup overhead per unit of output. Combined with extreme production volatility (CoV 111%), this suggests either a product mix shift toward short specialised runs or batches being interrupted before completion. Cross-referencing with PctBatchesBases trend will identify whether this is strategic or operational.
⚡ Quick fix — Add control limit on Pours/Batch (target ≥85% of rolling 12m max). Flag breaches in anomaly panel.
① Throughput Index (2023 Baseline)
Kilo/hr indexed to 2023 = 100 · Spain +45% · USA flat · Singapore volatile
② Procurement Lot Fragmentation (Lots/Ton)
USA +69% since 2021 · Spain −18% · fewer lots = less QC overhead · target ≤ 7.0
③ Shipment Fragmentation Index (Shipments/Customer)
USA above 2.0 and rising · Spain/Singapore best-in-class · target ≤ 1.70
④ Cumulative Inventory Buffer (Produced − Shipped)
All-time Σ Tons produced minus Σ Tons shipped · declining or negative = drawdown alert
⑤ Material Conversion Efficiency (%)
Tons Shipped ÷ Raw Mat Received × 100 · target ≥ 90% · Singapore extremes = hub model signal
⑥ Automation Yield Premium (%)
Rolling: Kilo/hr in high-auto months vs low-auto months · Spain +34% ✅ · USA negative 🔴
⑦ Batch Efficiency Ratio (%)
Actual Pours/Batch ÷ site rolling 12m max × 100 · target ≥ 90% · Singapore trending down
⑧ Seasonal Coverage Index (%)
Nov production ÷ expected Dec gap × 100 · target ≥ 50% · plan pre-build from October