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 Disponibilité × Performance × Qualité 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.
| Secteur | OEE World-Class | A × P × Q Target | Plage typique | Notes |
|---|---|---|---|---|
| Automobile | 85%+ | 90 × 95 × 99.5 | 60–85% | OEM tier-1 suppliers often require ≥85% |
| Électronique / Semi-conducteurs | 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 |
| Pharmaceutique | ~70% | 85 × 90 × 92 | 40–70% | GMP validation, batch cleaning & QC holds |
| Process continu (Chem/Petro) | 90%+ | 95 × 97 × 99 | 75–92% | Runs 24/7; availability drives the metric |
| Travail des métaux | 75–80% | 85 × 92 × 97 | 50–78% | High-mix, low-volume; setups dominate losses |
| Plastics / Injection Moulding | 80%+ | 88 × 94 × 97 | 55–82% | Changement de moule & cycle-time stability |
| Textile & Apparel | 70–75% | 82 × 90 × 96 | 45–72% | Labour-intensive; speed losses from mixed lots |
| Emballage | 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 · Méthodologie · Licensed CC BY-SA 4.0
Les Six Grandes Pertes : où va réellement votre OEE
Every percentage point of OEE lost falls into one of these six categories, grouped under Disponibilité, Performance, or Qualité.
Panne d'équipement
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.
Vitesse réduite
Running below nameplate capacity. Often operator habit, worn tooling, or suboptimal material feed rates.
Défauts de processus
Scrap, rework, and out-of-spec product during stable running. Root cause usually in materials or process parameters.
Pertes au démarrage
Defective output from startup until stable production. Particularly costly in extrusion, printing, and chemical processes.
Meilleurs logiciels 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.
Meilleur pour l'entrepriseMachineMetrics
Industrial IoT platform with real-time machine monitoring and direct CNC connectivity. Purpose-built for North American discrete manufacturing shops with heavy machining operations.
Meilleur pour ateliers CNCEvocon
Estonian cloud platform with transparent per-machine pricing and fast deployment. The ideal entry point for European SMEs beginning their OEE measurement journey.
Meilleur pour PMESight 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.
Meilleur pour analytique 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.
Meilleur pour industries réglementéesRedzone
Frontline workforce productivity platform combining OEE tracking with connected worker engagement, coaching loops, and shift-level gamification for continuous improvement culture.
Meilleur pour la main-d'œuvreGuidewheel
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.
Le plus abordableParsec (ThinkIQ)
TrakSYS MES platform with deep genealogy tracking and full traceability. Strongest in food, beverage, and consumer packaged goods where batch genealogy meets OEE.
Meilleur pour traçabilitéFactbird
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.
Meilleur affichage visuelFourJaw
UK wireless non-intrusive sensors for CNC machine utilisation monitoring. Retrofit-friendly. Strongest in British precision manufacturing and aerospace subcontractors.
Meilleur pour 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.
Meilleur pour entreprises DACHFour-stage verification pipeline
Every figure on OEE Benchmark passes through a rigorous four-step process before publication.
Identification source primaire
We trace every data point to its original publication — peer-reviewed papers, equipment-vendor datasets, or industry association reports.
Vérification croisée
Each claim is validated against at least two independent sources. Conflicting data triggers deeper investigation.
Revue des valeurs aberrantes
Statistical outliers are flagged and investigated. We annotate confidence levels where data is sparse or contradictory.
Revalidation trimestrielle
Published benchmarks are re-checked every quarter. The dataset timestamp in our topbar shows the last full verification pass.
Questions fréquentes
Comment est calculé l'OEE ?
Disponibilité = actual run time ÷ planned production time. Performance = actual throughput ÷ theoretical maximum. Qualité = good units ÷ total units started. Example: 90% × 95% × 99% = 84.6% OEE.
Quel OEE mon secteur doit-il viser ?
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.
Quels sont les Six Grandes Pertes ?
The Six Big Losses categorise all production losses: Disponibilité losses — equipment breakdown and setup/adjustment. Performance losses — idling/minor stoppages and reduced speed. Qualité losses — process defects (scrap/rework) and startup losses. Identifying which loss dominates is the first step to improving OEE.
Quel est le meilleur logiciel 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.