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Understanding Process Mining for Data-Driven Optimization of Order Processing

; ; ;

In
Learning Factories across the value chain - from innovation to service - The 10th Conference on Learning Factories 2020 / edited by Christian Ramsauer, Matthias Wolf, Maria Hulla

In
Procedia manufacturing 45, Seiten/Artikel-Nr.:417-422

Konferenz/Event:10. Conference on Learning Factories: Learning Factories Across the Value Chain - From Innovation to Service, , Graz , Austria , CLF 2020 , 2020-06-15 - 2020-06-17

ImpressumAmsterdam [u.a.] : Elsevier

ISSN2351-9789

Online
DOI: 10.1016/j.promfg.2020.04.046

DOI: 10.18154/RWTH-2020-06734
URL: https://publications.rwth-aachen.de/record/793225/files/793225.pdf

Einrichtungen

  1. Werkzeugmaschinenlabor WZL der RWTH Aachen (417200)
  2. Lehrstuhl für Produktionssystematik (417210)


Inhaltliche Beschreibung (Schlagwörter)
Demonstrator (frei) ; Order Processing (frei) ; Process Mining (frei) ; Process Optimization (frei)

Thematische Einordnung (Klassifikation)
DDC: 620

OpenAccess:
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Dokumenttyp
Journal Article/Contribution to a conference proceedings

Format
online

Sprache
English

Anmerkung
Peer reviewed article

Externe Identnummern
SCOPUS: SCOPUS:2-s2.0-85085469550

Interne Identnummern
RWTH-2020-06734
Datensatz-ID: 793225

Beteiligte Länder
Germany

Lizenzstatus der Zeitschrift

 GO


Medline ; Creative Commons Attribution-NonCommercial-NoDerivs CC BY-NC-ND 4.0 ; OpenAccess ; SCOPUS

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The record appears in these collections:
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Document types > Articles > Journal Articles
Faculty of Mechanical Engineering (Fac.4)
Publication server / Open Access
Public records
Publications database
417210
417200

 Record created 2020-06-26, last modified 2024-03-11


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