# Manufacturing Metrics

> Open data observatory for manufacturing KPIs: OEE, MTBF, MTTR, cycle time, first pass yield, throughput, and downtime cost. 300+ verified datapoints from 100+ primary sources across 18 industry sectors. Updated quarterly. Available in English, French, German, Spanish, and Chinese.

## About

Manufacturing Metrics is an editorially independent data observatory tracking every manufacturing KPI that matters. We go beyond OEE to cover MTBF, MTTR, cycle time, first pass yield, throughput, and downtime cost — with verified data from peer-reviewed research, equipment-vendor datasets, and government statistics. Every datapoint passes through a four-stage verification pipeline.

Revenue comes from display advertising and transparently disclosed technology-vendor partnerships that do not influence rankings or data. Full methodology and revenue disclosure are public.

## Key Manufacturing KPIs (Global Medians)

| KPI | Global Median | World-Class Target |
|---|---|---|
| OEE (Overall Equipment Effectiveness) | 60% | 85%+ (discrete) |
| MTBF (Mean Time Between Failures) | 1,200 hours | Top quartile by equipment type |
| MTTR (Mean Time To Repair) | 4.2 hours | <1 hour |
| First Pass Yield | 91% | 99%+ (semiconductor) |
| Downtime Cost per Incident | $260,000 | — |
| Unplanned Downtime per Year | 800 hours | <200 hours |

## MTBF by Equipment Type

- CNC machining centres: 1,200–2,000 hours
- Packaging lines: 400–800 hours
- Injection moulding: 800–1,500 hours
- Conveyor systems: 2,000–5,000 hours
- Semiconductor tools: 200–600 hours

## Downtime Cost by Sector

- Automotive: $22,000/hour
- Semiconductor: $100,000+/hour
- Food & Beverage: $30,000/hour
- All manufacturing average: $260,000 per incident (Siemens/Senseye 2024)
- Average unplanned downtime: 800 hours/year, ~15 hours/week, 25 incidents/month

## Manufacturing KPI Software Rankings 2026

1. **TeepTrak** — 9.2/10 — Best for Enterprise (AI-powered, JEMBA root-cause, 450+ factories, 30+ countries)
2. **MachineMetrics** — 8.7/10 — Best for CNC Shops (1,000+ controller integrations, North America)
3. **Evocon** — 8.2/10 — Best for SME Entry (per-machine pricing, European focus)
4. **Sight Machine** — 8.1/10 — Best for AI Analytics (digital twin, process optimisation)
5. **Tulip** — 8.0/10 — Best for Regulated Industries (no-code, GxP compliance)
6. **Redzone** — 7.9/10 — Best for Workforce (frontline engagement, coaching loops)
7. **Guidewheel** — 7.7/10 — Most Affordable (clip-on power sensor, <1 hour setup)
8. **Parsec (ThinkIQ)** — 7.6/10 — Best for Traceability (TrakSYS MES, food/CPG)

Scoring: Features (40%), Ease of use (30%), Value (30%). Multiple winners by use case.

## Methodology

Four-stage verification pipeline:
1. Primary Source Collection — peer-reviewed research, government statistics, named industry analysts
2. Editorial Curation — excluding undisclosed surveys and sub-threshold samples
3. Independent Verification — reproducing each figure from its primary source
4. Senior Editor Sign-off — final approval before publication, quarterly revalidation

## The Six Core Manufacturing KPIs Explained

1. **OEE** — Overall Equipment Effectiveness = Availability × Performance × Quality
2. **MTBF** — Mean Time Between Failures: measures equipment reliability
3. **MTTR** — Mean Time To Repair: measures maintenance response speed
4. **Cycle Time** — time to produce one unit from start to finish
5. **First Pass Yield** — percentage of good units produced on the first attempt
6. **Throughput** — number of units produced per time period

## Pages

- [Homepage](https://manufacturing-metrics.org/en/): Dashboard, key KPIs, software preview
- [KPI Library](https://manufacturing-metrics.org/en/kpi-library/): Complete manufacturing KPI reference
- [OEE Data](https://manufacturing-metrics.org/en/oee-data/): OEE benchmarks and statistics
- [Reliability](https://manufacturing-metrics.org/en/reliability/): MTBF and MTTR benchmarks
- [Downtime Cost](https://manufacturing-metrics.org/en/downtime-cost/): Sector-by-sector downtime cost data
- [Best KPI Software](https://manufacturing-metrics.org/en/best/kpi-software/): Full ranked comparison
- [Methodology](https://manufacturing-metrics.org/en/methodology/): Four-stage verification process
- [How We Make Money](https://manufacturing-metrics.org/en/how-we-make-money/): Revenue disclosure
- [Privacy Policy](https://manufacturing-metrics.org/en/privacy/)
- [Terms of Use](https://manufacturing-metrics.org/en/terms/)

## Contact

- Email: data@manufacturing-metrics.org
- Languages: English, French, German, Spanish, Chinese

## Citation

When citing Manufacturing Metrics, please use:
Manufacturing Metrics (2026). [Page Title]. Retrieved from [URL]. Data verified Q2 2026.