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ENLYZE

For agents: ENLYZE Manufacturing Data Platform docs in German: overview, quick start, Shopfloor BI and onboarding guides for manufacturing analytics.

manufacturing data platform shopfloor bi industrial analytics onboarding guides manufacturing data

Authority: 52 reach 6 · trust 10 · quality 21 · freshness 15
Tier: listed
llms.txt: https://docs.enlyze.com/llms.txt
llms-full.txt: https://docs.enlyze.com/llms-full.txt
Sections: 1
Links: 176
Size: 26897 bytes
Popularity rank: #699287
Registered: 2016-04-06
Country: — Publisher location unknown; CDN address excluded
Country evidence: No published address evidence collected yet
Categories: Industry and manufacturing · Data and analytics
For agents: Documentation: developer or product docs worth reading, nothing to call
Inferred actions: Read documentation About these labels
Audience: business · agents can: read docs · de
First seen: 2026-10-19T10:41:12.127Z
Last checked: 2026-10-24T11:47:12.645Z
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Their llms.txt

The beginning of the file, from our validated copy saved 2026-10-24T11:47:05.322Z. Cached copy · Source on enlyze.com

# ENLYZE

## 🇩🇪 ENLYZE

- [Willkommen bei ENLYZE](https://docs.enlyze.com/readme.md): Dokumentation der ENLYZE Manufacturing Data Platform.
- [Manufacturing Data Platform](https://docs.enlyze.com/readme/manufacturing-data-platform.md): Die ENLYZE Manufacturing Data Platform im Überblick.
- [Shopfloor BI](https://docs.enlyze.com/readme/shopfloor-bi.md): Shopfloor BI mit der ENLYZE Plattform.
- [Schnellstart](https://docs.enlyze.com/einstieg/schnellstart.md): Erster Einstieg in die ENLYZE Manufacturing Data Platform.
- [Übersicht](https://docs.enlyze.com/einstieg/uebersicht.md): Überblick über die ENLYZE Plattform und die Dokumentation.
- [Onboarding Guides](https://docs.enlyze.com/einstieg/onboarding-guides.md): Einstiegsleitfäden für die verschiedenen Rollen, die mit ENLYZE arbeiten.
- [Für Maschinenführer](https://docs.enlyze.com/einstieg/onboarding-guides/fuer-maschinenfuehrer.md): Was dir ENLYZE als Maschinenführer bringt und wie du es anwendest.
- [Maschinendaten](https://docs.enlyze.com/konzepte/maschinendaten-verstehen.md): Was Maschinendaten sind, wie sie aufgezeichnet werden und warum Kontext entscheidend ist.
- [Datenquellen](https://docs.enlyze.com/konzepte/maschinendaten-verstehen/datenquellen.md): Was Datenquellen in der Fertigung sind und wie ENLYZE Maschinendaten erfasst.
- [Variablen & Zeitreihen](https://docs.enlyze.com/konzepte/maschinendaten-verstehen/variablen-und-zeitreihen.md): Was Variablen und Zeitreihen sind und wie ENLYZE Maschinendaten aufzeichnet.
- [Produktionskontext](https://docs.enlyze.com/konzepte/produktionskontext.md): Wie Auftragsdaten den Maschinendaten Bedeutung geben und welche Analysen dadurch möglich werden.
- [Stillstände](https://docs.enlyze.com/konzepte/stillstaende.md): Was Stillstände in der Produktion bedeuten und wie ENLYZE sie erkennt und klassifiziert.
- [Erkennung](https://docs.enlyze.com/konzepte/stillstaende/erkennung.md): Wie ENLYZE Stillstände automatisch aus Maschinendaten erkennt.
- [Kategorien & Zuordnung](https://docs.enlyze.com/konzepte/stillstaende/kategorien-und-zuordnung.md): Stillstandskategorien und wie Gründe zu Stillständen zugeordnet werden.
- [Leistung](https://docs.enlyze.com/konzepte/leistung.md): Was Leistung im Produktionskontext bedeutet und wie sie gemessen wird.
- [Leistungsmessung](https://docs.enlyze.com/konzepte/leistung/leistungsmessung.md): Wie die Fertigungsleistung gemessen und der Leistungsfaktor berechnet wird.
- [Maximum Demonstrated Speed](https://docs.enlyze.com/konzepte/leistung/maximum-demonstrated-speed.md): Was Maximum Demonstrated Speed (MDS) ist und wie ENLYZE ihn als Leistungsreferenz nutzt.
- [OEE](https://docs.enlyze.com/konzepte/oee-verstehen.md): OEE-Management mit Maschinendaten zur Steigerung der Maschineneffektivität
- [Das Konzept OEE](https://docs.enlyze.com/konzepte/oee-verstehen/das-konzept-oee.md): Das Konzept der Overall Equipment Effectiveness.
- [Verfügbarkeit](https://docs.enlyze.com/konzepte/oee-verstehen/verfugbarkeit.md): Verluste du
…

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