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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 9781713829393
In
Procedia CIRP 99, Seiten/Artikel-Nr.:586-591
2021
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
Dokumenttyp
Journal Article/Contribution to a conference proceedings/Contribution to a book
Format
print
Sprache
English
Anmerkung
Peer reviewed article
Interne Identnummern
RWTH-2021-04993
Datensatz-ID: 819358
Beteiligte Länder
Germany
Related:
Journal Article/Contribution to a conference proceedings
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) [10.1016/j.procir.2021.03.112] special issue: "14th CIRP Conference on Intelligent Computation in Manufacturing Engineering, 15-17 July 2020 / edited by Roberto Teti, Doriana D'Addona"
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