An approach to develop a digital twin for industry 4.0 systems : manufacturing automation case studies
author
Guerra-Zubiaga, David
Kuts, Vladimir
Mahmood, Kashif
Bondar, Alex
Nasajpour-Esfahani, Navid
Otto, Tauno
statement of authorship
David Guerra-Zubiaga, Vladimir Kuts, Kashif Mahmood, Alex Bondar, NavidNasajpour-Esfahani, Tauno Otto
source
International Journal of Computer Integrated Manufacturing
publisher
Taylor & Francis online
journal volume number month
Vol. 34, 9
year of publication
2021
pages
p. 933-949 : ill
url
https://doi.org/10.1080/0951192X.2021.1946857
subject term
tootmine
simulatsioon
automaatikasüsteemid
tööstus 4.0
keyword
Digital Manufacturing
Digital Twin
Simulation
Automated Production Systems
Industry 4.0
ISSN
1362-3052
0951-192X
notes
Bibliogr.: 42 ref
scientific publication
teaduspublikatsioon
classifier
1.1
Scopus
Journal metrics at Scopus
Article at Scopus
WOS
Journal metrics at WOS
Article at WOS
category (general)
Engineering
en
Computer science
en
Tehnika
et
Arvutiteadus
et
category (sub)
Engineering. Mechanical engineering
en
Engineering. Industrial and manufacturing engineering
en
Computer science. Computer science applications
en
Tehnika. Masinaehitus
et
Tehnika. Tööstus- ja tootmistehnika
et
Arvutiteadus. Arvutiteaduse rakendused
et
kvartiil
Q1
TTÜ department
mehaanika ja tööstustehnika instituut
language
inglise
Uurimisrühm
Smart industry
Automated production systems and real-time monitoring and AI models research group
Autonomous vehicles