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Application of time series data mining for the prediction of transition times in production
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In
53rd CIRP Conference on Manufacturing Systems 2020 : 53rd CIRP Conference on Manufacturing Systems / Edited by Robert X. Gao, Kornel Ehmann 9781713818809
In
Procedia CIRP 93, Seiten/Artikel-Nr.:897-902
2020
Konferenzort: Chicago, USA
Einrichtungen
Inhaltliche Beschreibung (Schlagwörter)
Automatisierung (frei) ; Komplexität (frei) ; Logistik (frei) ; Maschinenbau (frei) ; Modellierung (frei) ; Optimierung (frei) ; Production Process (frei) ; Produktion (frei) ; Prozessoptimierung (frei)
Thematische Einordnung (Klassifikation)
DDC: 670
Dokumenttyp
Journal Article/Contribution to a conference proceedings/Contribution to a book
Format
print
Sprache
English
Anmerkung
Peer reviewed article
Interne Identnummern
RWTH-2021-03682
Datensatz-ID: 817093
Beteiligte Länder
Germany
Related:
Journal Article/Contribution to a conference proceedings
Application of time series data mining for the prediction of transition times in production
53. CIRP Conference on Manufacturing Systems, CIRP CMS 2020, onlineonline, 1 Jul 2020 - 3 Jul 2020
Procedia CIRP 93, 897-902 (2020) [10.1016/j.procir.2020.04.054] special issue: "53rd CIRP Conference on Manufacturing Systems 2020 : 53rd CIRP Conference on Manufacturing Systems / Edited by Robert X. Gao, Kornel Ehmann"
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