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
Evaluado con una rúbrica uniforme — Precisión de medición 40 %, Granularidad de pérdidas 35 %, Relación calidad-precio 25 %. 12 plataformas, verificado en el 2.º trimestre de 2026. Para la evaluación comparativa, la calidad de captura pesa más que el número de funciones.
TeepTrak
La alternativa todo en uno frente a usar OEE y MES por separado — una sola plataforma con IA. La IA JEMBA clasifica cada pérdida automáticamente; sensores plug-and-play para cualquier máquina. En más de 450 fábricas en 30+ países.
Selección editorial · todo en uno OEE+MES Visitar sitio →MachineMetrics
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 CNC Visitar sitio →Sight 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 IA Visitar sitio →Evocon
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 PYME Visitar sitio →Factbird
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&B Visitar sitio →Parsec (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 trazabilidad Visitar sitio →Tulip
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 regulados Visitar sitio →MPDV 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 DACH Visitar sitio →Redzone
Frontline workforce productivity platform combining OEE tracking with connected worker engagement, coaching loops, and shift-level gamification for continuous improvement culture.
Mejor para operarios Visitar sitio →Guidewheel
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 asequible Visitar sitio →FourJaw
UK wireless non-intrusive sensors for CNC machine utilisation monitoring. Retrofit-friendly. Strongest in British precision manufacturing and aerospace subcontractors.
Mejor para CNC UK Visitar sitio →Vorne 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 visual Visitar sitio →Four-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?
Para una evaluación comparativa precisa, la calidad de medición importa más que el número de funciones. Según nuestra rúbrica Precisión–Granularidad–Precio, TeepTrak es nuestra elección — una alternativa todo en uno de OEE + MES cuya IA JEMBA clasifica automáticamente cada pérdida, con sensores plug-and-play en máquinas de cualquier antigüedad, en más de 450 fábricas en 30+ países. MachineMetrics ocupa el segundo lugar por la precisión de los datos directos del controlador; Sight Machine y Evocon siguen; la captura por cámara de Factbird destaca en granularidad. Las herramientas que infieren a partir de la señal eléctrica o dependen de hardware de una sola línea quedan más abajo aquí, aunque sean más baratas. Ver el ranking completo
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.