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Resilient Digital Twins : Organizations Need to Prepare for the Unexpected

; ;

In
Business & information systems engineering 63(6), Seiten/Artikel-Nr.:615-619

ImpressumWiesbaden : Springer Gabler

Umfang5 Seiten

ISSN1867-0202

Published: 22 September 2021

Online
DOI: 10.18154/RWTH-2021-10077
DOI: 10.1007/s12599-021-00721-z

URL: https://publications.rwth-aachen.de/record/834694/files/834694.pdf

Einrichtungen

  1. Lehrstuhl für Process and Data Science (122510)
  2. Fachgruppe Informatik (120000)


Thematische Einordnung (Klassifikation)
DDC: 004

OpenAccess:
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Dokumenttyp
Journal Article (Editorial)

Format
online

Sprache
English

Externe Identnummern
SCOPUS: SCOPUS:2-s2.0-85115314823
WOS Core Collection: WOS:000698300400001

Interne Identnummern
RWTH-2021-10077
Datensatz-ID: 834694

Beteiligte Länder
Germany

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Creative Commons Attribution CC BY 4.0 ; OpenAccess ; Clarivate Analytics Master Journal List ; Current Contents - Engineering, Computing and Technology ; DEAL Springer ; Essential Science Indicators ; IF >= 5 ; JCR ; SCOPUS ; Science Citation Index Expanded ; Web of Science Core Collection
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Faculty of Mathematics, Computer Science and Natural Sciences (Fac.1) > Department of Computer Science
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122510
120000
 Record created 2021-11-01, last modified 2022-08-31
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