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
https://www.scopus.com/sourceid/18198
https://www.scopus.com/record/display.uri?eid=2-s2.0-85109762696&origin=inward&txGid=4f4d920b8a11c8d5608b5c3c8b5f6ffc
WOS
https://jcr.clarivate.com/jcr-jp/journal-profile?journal=INT%20J%20COMPUT%20INTEG%20M&year=2022
https://www.webofscience.com/wos/woscc/full-record/WOS:000669801400001
category (general)
Engineering
Computer science
Tehnika
Arvutiteadus
category (sub)
Engineering. Mechanical engineering
Engineering. Industrial and manufacturing engineering
Computer science. Computer science applications
Tehnika. Masinaehitus
Tehnika. Tööstus- ja tootmistehnika
Arvutiteadus. Arvutiteaduse rakendused
quartile
Q1
TalTech department
mehaanika ja tööstustehnika instituut
language
inglise
Reserch Group
Smart industry
Automated production systems and real-time monitoring and AI models research group
Autonomous vehicles