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Towards a flexible process-independent meta-model for production data
; ; ; ;
In
14th CIRP Conference on Intelligent Computation in Manufacturing Engineering, 15-17 July 2020 / edited by Roberto Teti, Doriana D'Addona
In
Procedia CIRP 99, Seiten/Artikel-Nr.:586-591
2021
Online
DOI: 10.18154/RWTH-2021-04610
DOI: 10.1016/j.procir.2021.03.112
URL: https://publications.rwth-aachen.de/record/818725/files/818725.pdf
Einrichtungen
- Lehrstuhl für Informationsmanagement im Maschinenbau (416910)
- Lehrstuhl für Fertigungsmesstechnik und Qualitätsmanagement (417510)
- Werkzeugmaschinenlabor WZL der RWTH Aachen (417200)
- Internet of Production (080067)
Projekte
- EXC 2023: Internet of Production (IoP) (390621612) (390621612)
- WS-B3.II - Short-term Production Management (X080067-WS-B3.II) (X080067-WS-B3.II)
Thematische Einordnung (Klassifikation)
DDC: 600
OpenAccess: 
PDF
Dokumenttyp
Journal Article/Contribution to a conference proceedings
Format
online
Sprache
English
Anmerkung
Peer reviewed article
Externe Identnummern
SCOPUS: SCOPUS:2-s2.0-85106424431
WOS Core Collection: WOS:001491608700100
OpenAlex: W3157738679
Interne Identnummern
RWTH-2021-04610
Datensatz-ID: 818725
Beteiligte Länder
Germany
Related:
Journal Article/Contribution to a conference proceedings/Contribution to a book
Towards a flexible process-independent meta-model for production data
14. CIRP Conference on Intelligent Computation in Manufacturing Engineering, onlineonline, 15 Jul 2020 - 17 Jul 2020
Procedia CIRP 99, 586-591 (2021) special issue: "14th CIRP Conference on Intelligent Computation in Manufacturing Engineering, 15-17 July 2020 / edited by Roberto Teti, Doriana D'Addona" (9781713829393)
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