Manufacturing OEE & Throughput
L0 · Overall Equipment Effectiveness (OEE) · 14 metrics
Decompose Overall Equipment Effectiveness into availability, performance and quality drivers down to the shop floor.
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Pre-built KPI trees for Manufacturing. Each tree starts at a North Star metric and breaks down into the drivers and leading indicators your teams can act on.
L0 · Overall Equipment Effectiveness (OEE) · 14 metrics
Decompose Overall Equipment Effectiveness into availability, performance and quality drivers down to the shop floor.
L0 · Cost of Waste Eliminated · 10 metrics
Link the cost of poor quality and waste elimination to daily kaizen habits and idea velocity.
L0 · Perfect Order Rate · 9 metrics
Break Perfect Order Rate into on-time, in-full and damage-free delivery drivers across suppliers and warehouses.
L0 · Marketing Qualified Pipeline Value · 14 metrics
Trace the pipeline value marketing generates from spend, campaigns and reach down to lead flow and acceptance by sales.
L0 · EBITDA Margin · 8 metrics
Trace EBITDA margin back to gross margin, operating expense discipline and working drivers.
L0 · Voluntary Turnover Rate · 7 metrics
Connect voluntary turnover to engagement, manager quality and time-to-productivity.
L0 · Plant SQDC Performance Index · 14 metrics
The classic tiered-huddle board: balance safety, quality, delivery and cost with daily leading indicators.
L0 · Cost of Poor Quality (COPQ) · 20 metrics
Expose the hidden cost of defects by decomposing COPQ into internal failure, external failure, appraisal and prevention costs.
| Metric | Formula | Type |
|---|---|---|
| Overall Equipment Effectiveness (OEE) | OEE = Availability × Performance × Quality | Lagging |
| Availability | Run Time ÷ Planned Production Time | Lagging |
| Performance | (Ideal Cycle Time × Total Count) ÷ Run Time | Lagging |
| Quality | Good Count ÷ Total Count | Lagging |
| Cost of Waste Eliminated | Σ validated annualized savings | Lagging |
| Improvement Project Throughput | # projects closed per month | Lagging |
| Cost of Poor Quality (COPQ) | Scrap + Rework + Warranty + Returns | Lagging |
| Perfect Order Rate | On-Time % × In-Full % × Damage-Free % × Doc Accuracy % | Lagging |
| On-Time Delivery (OTD) | On-Time Orders ÷ Total Orders | Lagging |
| Fill Rate | Units Shipped ÷ Units Ordered | Lagging |
| Marketing Qualified Pipeline Value | Accepted MQLs × MQL → SQL Rate × Avg Deal Size | Lagging |
| Qualified Lead Flow | Leads Generated × Lead → MQL Rate × Acceptance Rate | Lagging |
| Campaign Reach | Reach = unique people exposed; Impressions = total exposures | Leading |
| Cost Efficiency | Marketing Qualified Pipeline ÷ Marketing Spend | Lagging |
| EBITDA Margin | EBITDA ÷ Revenue | Lagging |
| Gross Margin | (Revenue − COGS) ÷ Revenue | Lagging |
| OpEx as % of Revenue | Operating Expenses ÷ Revenue | Lagging |
| Voluntary Turnover Rate | Voluntary Exits ÷ Avg Headcount | Lagging |
| Employee Engagement (eNPS) | % Promoters − % Detractors | Leading |
| First-Year Attrition | Exits < 12 mo ÷ Hires | Lagging |
| Plant SQDC Performance Index | Avg(Safety %, Quality %, Delivery %, Cost %) of target achieved | Lagging |
| Safety: Total Recordable Incident Rate (TRIR) | (# Recordable Incidents × 200,000) ÷ Hours Worked | Lagging |
| Quality: Customer PPM | (Defective Units Returned ÷ Units Shipped) × 1,000,000 | Lagging |
| Delivery: On-Time In-Full (OTIF) | OTIF Orders ÷ Total Orders | Lagging |
| Cost: Conversion Cost per Unit | (Direct Labor + Overhead) ÷ Units Produced | Lagging |
| Cost of Poor Quality (COPQ) | Internal Failure + External Failure + Appraisal + Prevention Costs | Lagging |
| Internal Failure Costs | Scrap + Rework + Retest + Downtime from defects | Lagging |
| External Failure Costs | Warranty + Returns + Claims + Recalls | Lagging |
| Appraisal Costs | Inspection + Testing + Audit Costs | Lagging |
| Prevention Costs | Training + PM + Quality Planning + Supplier Qualification | Leading |
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