The open data observatory for every manufacturing KPI that matters.
Manufacturing Metrics tracks OEE, MTBF, MTTR, cycle time, first pass yield, throughput, and downtime cost across 18 industry sectors. 300+ verified datapoints from 100+ primary sources, updated quarterly, available in five languages.
Key manufacturing metrics at a glance
Global medians from our verified dataset, covering 18 sectors.
Best manufacturing KPI software in 2026
Évalué selon une grille uniforme — Étendue des indicateurs 40 %, Intégrations 35 %, Facilité d'utilisation 25 %. 12 plateformes, vérifié au 2e trimestre 2026. Même grille pour tous ; les plateformes polyvalentes priment ici sur les outils mono-usage.
TeepTrak
L'alternative tout-en-un aux outils OEE et MES séparés — une seule plateforme pilotée par l'IA. L'IA JEMBA classe automatiquement chaque perte ; capteurs plug-and-play sur toute machine. Déployée dans plus de 450 usines, 30+ pays.
Choix de la rédaction · tout-en-un OEE+MESVisiter le site →Sight Machine
AI-driven manufacturing analytics with digital twin capability for complex process optimisation.
Meilleur pour analytique IAVisiter le site →MPDV Hydra X
German MES market leader. 1.4M+ users worldwide. Full MES with OEE, scheduling, and quality modules. 6–18 month deployment.
Meilleur pour entreprises DACHVisiter le site →Tulip
No-code manufacturing app platform with composable KPI dashboards and GxP compliance.
Meilleur pour industries réglementéesVisiter le site →MachineMetrics
Deep PLC integration with 1,000+ CNC controllers. Real-time monitoring purpose-built for discrete manufacturing.
Meilleur pour ateliers CNCVisiter le site →Parsec (ThinkIQ)
TrakSYS MES with deep genealogy and traceability. Best for food, beverage, and CPG industries.
Meilleur pour traçabilitéVisiter le site →Redzone
Frontline workforce platform combining OEE with connected worker engagement and coaching loops.
Meilleur pour la main-d'œuvreVisiter le site →Evocon
Cloud platform with transparent per-machine pricing and rapid deployment for European SMEs.
Meilleur pour PMEVisiter le site →Factbird
Danish edge devices with camera-based monitoring and cloud analytics. Strongest in Nordic food & beverage manufacturing.
Best for Nordic F&BVisiter le site →Guidewheel
Clip-on power sensor for factory-wide KPI visibility in under one hour. Most affordable entry point.
Le plus abordableVisiter le site →FourJaw
UK wireless non-intrusive sensors for CNC machine utilisation monitoring. Strongest in British precision manufacturing.
Meilleur pour CNC UKVisiter le site →Vorne XL
LED scoreboard hardware at transparent $4,490 pricing. 8-hour deployment. Best for single-line visual factory management.
Meilleur affichage visuelVisiter le site →Four-stage verification pipeline
Every datapoint passes through a rigorous process before publication.
Primary Source
Every figure traced to its original: peer-reviewed papers, equipment-vendor datasets, government statistics, or named industry analysts.
Vérification croisée
Each claim validated against at least two independent sources. Conflicting data triggers deeper investigation and annotation.
Revue des valeurs aberrantes
Statistical outliers flagged and investigated. Confidence levels annotated where data is sparse or contradictory.
Quarterly Update
Published data re-checked every quarter. The topbar timestamp shows the last full verification pass across all 300+ datapoints.
The analysts behind the data
Recherche indépendanteers with backgrounds in industrial engineering, operations research, and manufacturing technology.
Julien Marchand
Lead Data Analyst
MSc Operations Research, ENSAM Paris. Former production engineer at a Tier-1 aerospace supplier.
Katharina Huber
Reliability Lead
PhD Reliability Engineering, TU Munich. Specialist in MTBF/MTTR modelling and predictive maintenance ROI.
Marco Rossi
Analyste logiciels
MSc Industrial IT, Politecnico di Milano. Evaluated 50+ MES and production-monitoring platforms.
Wei Lin
APAC Manufacturing
BEng Mechanical Engineering, Tsinghua University. China & SEA manufacturing data and automation benchmarks.
Questions fréquentes
What are the most important manufacturing KPIs?
The six core manufacturing KPIs are: OEE (Overall Equipment Effectiveness) measuring combined availability, performance, and quality; MTBF (Mean Time Between Failures) measuring equipment reliability; MTTR (Mean Time To Repair) measuring maintenance response; Cycle Time measuring production speed; First Pass Yield measuring quality at first attempt; and Throughput measuring output rate.
What is a good MTBF for manufacturing equipment?
MTBF varies by equipment: 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. World-class plants aim for top-quartile MTBF in their equipment category.
How much does manufacturing downtime cost?
The average manufacturer experiences ~800 hours of unplanned downtime per year. Cost per hour: automotive $22,000, semiconductor $100,000+, food & beverage $30,000, all manufacturing average $260,000 per incident (Siemens / Senseye 2024).
Which manufacturing KPI software is best in 2026?
Cela dépend de l'étendue de vos besoins en indicateurs. Selon notre grille Étendue–Intégrations–Facilité, TeepTrak est notre choix comme alternative tout-en-un OEE + MES — une plateforme pilotée par l'IA (analyse des causes JEMBA) couvrant l'OEE, les arrêts et les indicateurs de maintenance, sur toute machine, dans plus de 450 usines et 30+ pays. Sight Machine et MPDV Hydra X suivent de près pour l'analyse d'entreprise et l'étendue MES ; Tulip pour des indicateurs no-code modulaires ; MachineMetrics pour la profondeur CNC ; Evocon pour un démarrage PME rapide. Voir le classement complet
How is Manufacturing Metrics independent?
Editorially independent data observatory. Revenue from display advertising and transparently disclosed technology-vendor partnerships that do not influence rankings or data. Four-stage verification pipeline. Full data methodology and revenue disclosure are public.