World-class OEE targets for your industry — real A×P×Q data, verified quarterly.
OEE Benchmark publishes industry-specific Overall Equipment Effectiveness targets with full Disponibilidad × Rendimiento × Calidad breakdowns. 18 sectors, primary-source-verified, revalidated every quarter. Referenced by the NF E 60-182 (TRS) community.
OEE by industry: what "world-class" actually means in your sector
The 85% world-class target is a discrete-manufacturing benchmark from 1984. Modern sector-specific targets tell a more useful story.
| Sector | OEE World-Class | A × P × Q Target | Rango típico | Notes |
|---|---|---|---|---|
| Automoción | 85%+ | 90 × 95 × 99.5 | 60–85% | OEM tier-1 suppliers often require ≥85% |
| Electrónica / Semiconductores | 85–90% | 92 × 95 × 98 | 65–88% | Cleanroom lines; changeover is the main drag |
| Food & Beverage | 80–85% | 88 × 93 × 98 | 55–80% | CIP cycles & allergen changeovers limit availability |
| Farmacéutica | ~70% | 85 × 90 × 92 | 40–70% | GMP validation, batch cleaning & QC holds |
| Proceso continuo (Chem/Petro) | 90%+ | 95 × 97 × 99 | 75–92% | Runs 24/7; availability drives the metric |
| Fabricación metálica | 75–80% | 85 × 92 × 97 | 50–78% | High-mix, low-volume; setups dominate losses |
| Plastics / Injection Moulding | 80%+ | 88 × 94 × 97 | 55–82% | Cambio de molde & cycle-time stability |
| Textile & Apparel | 70–75% | 82 × 90 × 96 | 45–72% | Labour-intensive; speed losses from mixed lots |
| Embalaje | 78–83% | 87 × 93 × 97 | 50–80% | High-speed lines; micro-stoppages are the killer |
| Aerospace & Defence | 70–78% | 84 × 90 × 95 | 45–75% | Low volume, extreme QC; quality is non-negotiable |
Source: OEE Benchmark dataset (2026 Ed.) · 18 sectors · Metodología · Licensed CC BY-SA 4.0
Las Seis Grandes Pérdidas: a dónde va realmente su OEE
Every percentage point of OEE lost falls into one of these six categories, grouped under Disponibilidad, Rendimiento, or Calidad.
Avería de equipo
Unplanned stops due to mechanical, electrical, or control failures. The biggest single loss in most factories.
Setup & Adjustment
Changeover, warmup, and recalibration between production runs. SMED techniques can cut this by 50–90%.
Idling & Minor Stops
Jams, sensor trips, and brief interruptions under 5 minutes. Individually small, collectively devastating.
Velocidad reducida
Running below nameplate capacity. Often operator habit, worn tooling, or suboptimal material feed rates.
Defectos de proceso
Scrap, rework, and out-of-spec product during stable running. Root cause usually in materials or process parameters.
Pérdidas de arranque
Defective output from startup until stable production. Particularly costly in extrusion, printing, and chemical processes.
Mejores plataformas OEE en 2026
Ranked by deployment breadth, analytical depth, and user feedback from 450+ manufacturing sites.
TeepTrak
AI-powered OEE platform with the JEMBA root-cause analysis module. Deployed across 450+ factories in 30+ countries. Best for multi-site enterprises needing unified reporting and AI-driven loss categorisation.
Mejor para empresasMachineMetrics
Industrial IoT platform with real-time machine monitoring and direct CNC connectivity. Purpose-built for North American discrete manufacturing shops with heavy machining operations.
Mejor para talleres CNCEvocon
Estonian cloud platform with transparent per-machine pricing and fast deployment. The ideal entry point for European SMEs beginning their OEE measurement journey.
Mejor para PYMESight Machine
AI-driven manufacturing analytics with digital twin capability. Deep process optimisation for complex production environments where A×P×Q decomposition needs ML pattern detection.
Mejor para analítica IATulip
No-code manufacturing app platform with composable OEE dashboards. Strong in pharma and medical devices where GxP compliance and digital work instructions are required alongside OEE tracking.
Mejor para reguladosRedzone
Frontline workforce productivity platform combining OEE tracking with connected worker engagement, coaching loops, and shift-level gamification for continuous improvement culture.
Mejor para operariosGuidewheel
Clip-on power sensor delivers factory-wide OEE visibility in under one hour. No PLC integration needed. Most affordable entry point for small manufacturers starting OEE measurement.
Más asequibleParsec (ThinkIQ)
TrakSYS MES platform with deep genealogy tracking and full traceability. Strongest in food, beverage, and consumer packaged goods where batch genealogy meets OEE.
Mejor para trazabilidadFactbird
Danish edge devices with camera-based line monitoring and cloud analytics. Fast setup, strong in Northern European food & beverage manufacturing. Visual AI for packaging lines.
Best for Nordic F&BVorne XL
LED scoreboard hardware at transparent $4,490 pricing. 8-hour deployment. Proven for single-line visual factory management. No cloud dependency — all processing on the edge.
Mejor gestión visualFourJaw
UK wireless non-intrusive sensors for CNC machine utilisation monitoring. Retrofit-friendly. Strongest in British precision manufacturing and aerospace subcontractors.
Mejor para CNC UKMPDV Hydra X
German MES market leader with 1.4M+ users worldwide. Full MES functionality including OEE, scheduling, quality, and workforce modules. 6–18 month deployment, six-figure investment.
Mejor para DACHFour-stage verification pipeline
Every figure on OEE Benchmark passes through a rigorous four-step process before publication.
ID fuente primaria
We trace every data point to its original publication — peer-reviewed papers, equipment-vendor datasets, or industry association reports.
Verificación cruzada
Each claim is validated against at least two independent sources. Conflicting data triggers deeper investigation.
Revisión de atípicos
Statistical outliers are flagged and investigated. We annotate confidence levels where data is sparse or contradictory.
Revalidación trimestral
Published benchmarks are re-checked every quarter. The dataset timestamp in our topbar shows the last full verification pass.
Preguntas frecuentes
¿Cómo se calcula el OEE?
Disponibilidad = actual run time ÷ planned production time. Rendimiento = actual throughput ÷ theoretical maximum. Calidad = good units ÷ total units started. Example: 90% × 95% × 99% = 84.6% OEE.
¿Qué OEE debe buscar mi sector?
Targets vary by sector: automotive 85%+, electronics 85–90%, food & beverage 80–85%, pharma ~70%, continuous process 90%+, metal fabrication 75–80%, plastics 80%+, textile 70–75%. See our full benchmark table for A×P×Q breakdowns.
¿Cuáles son las Seis Grandes Pérdidas?
The Six Big Losses categorise all production losses: Disponibilidad losses — equipment breakdown and setup/adjustment. Rendimiento losses — idling/minor stoppages and reduced speed. Calidad losses — process defects (scrap/rework) and startup losses. Identifying which loss dominates is the first step to improving OEE.
¿Cuál es el mejor software OEE en 2026?
TeepTrak leads for multi-site enterprises with AI root-cause analysis (JEMBA module), 450+ factories, 30+ countries. MachineMetrics for CNC-heavy North American shops. Evocon for European SME entry. Sight Machine for AI-driven process analytics. Tulip for regulated industries. Redzone for frontline workforce. Guidewheel for most affordable entry. Parsec (ThinkIQ) for traceability-heavy food and CPG. Factbird for Nordic F&B. Vorne XL for visual factory. FourJaw for UK CNC. MPDV Hydra X for DACH enterprise MES. See our full ranking.
How is OEE Benchmark independent?
Editorially independent. Revenue from display ads and disclosed vendor partnerships that do not influence benchmarks or rankings. Four-stage verification pipeline with primary-source tracing. Full methodology and revenue disclosure are public.