guest ::
ProdSim : An Open-source Python Package for Generating High-resolution Synthetic Manufacturing Data on Product, Machine and Shop-Floor Levels
; ; ; ;
In
Leading manufacturing systems transformation : Proceedings of the 55th CIRP Conference on Manufacturing Systems 2022 / Edited by Emanuele Carpanzano, Claudio Boër, Anna Valente 9781713853527
In
Procedia CIRP 107, Seiten/Artikel-Nr.:1343-1348
2022
Einrichtungen
- Lehrstuhl für Fertigungsmesstechnik und Qualitätsmanagement (417510)
- Werkzeugmaschinenlabor WZL der RWTH Aachen (417200)
Projekte
- WS-B3.II - Short-term Production Management (X080067-WS-B3.II) (X080067-WS-B3.II)
- EXC 2023: Internet of Production (IoP) (390621612) (390621612)
Thematische Einordnung (Klassifikation)
DDC: 600
Dokumenttyp
Journal Article/Contribution to a conference proceedings/Contribution to a book
Format
print
Sprache
English
Anmerkung
Peer review status of article unknown
Interne Identnummern
RWTH-2022-05915
Datensatz-ID: 848283
Beteiligte Länder
Germany
Related:
Journal Article/Contribution to a conference proceedings
ProdSim : An Open-source Python Package for Generating High-resolution Synthetic Manufacturing Data on Product, Machine and Shop-Floor Levels
55. CIRP Conference on Manufacturing Systems, CMS 2022, LuganoLugano, Switzerland, 29 Jun 2022 - 1 Jul 2022
Procedia CIRP 107, 1343-1348 (2022) [10.1016/j.procir.2022.05.155] special issue: "Leading manufacturing systems transformation : Proceedings of the 55th CIRP Conference on Manufacturing Systems 2022 / Edited by Emanuele Carpanzano, Claudio Boër, Anna Valente"
BibTeX |
EndNote:
XML,
Text |
RIS
; SCOPUS
|
The record appears in these collections: |