; ; ; ;
In
Leading manufacturing systems transformation – proceedings of the 55th CIRP Conference on Manufacturing Systems 2022 / edited by Emanuele Carpanzano, Claudio Boër, Anna Valente
In
Procedia CIRP 107, Seiten/Artikel-Nr.:1323-1328
2022
Online
DOI: 10.1016/j.procir.2022.05.152
DOI: 10.18154/RWTH-2022-09300
URL: https://publications.rwth-aachen.de/record/854085/files/854085.pdf
Einrichtungen
Projekte
Inhaltliche Beschreibung (Schlagwörter)
Reinforcement learning (frei) ; job shop production (frei) ; order release (frei) ; scheduling (frei) ; simulation (frei)
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-s2.0-85132311352
Interne Identnummern
RWTH-2022-09300
Datensatz-ID: 854085
Beteiligte Länder
Germany
Journal Article/Contribution to a conference proceedings/Contribution to a book
Towards an Automated Application for Order Release
55. CIRP Conference on Manufacturing Systems, CIRP - CMS 2022, LuganoLugano, Italy, 3 Jun 2022 - 1 Jul 2022
Procedia CIRP 107, 1323-1328 (2022) special issue: "Leading manufacturing systems transformation – proceedings of the 55th CIRP Conference on Manufacturing Systems 2022 / edited by Emanuele Carpanzano, Claudio Boër, Anna Valente" (9781713853527)
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