Case Study of Building a Digital Twin for a Production System

Burčiar Fedor (), Važan Pavel () and Pulišová Simona ()
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Burčiar Fedor: Slovak University Of Technology In Bratislava, Faculty Of Materials Science And Technology In Trnava, Institute Of Applied Informatics, Automation And Mechatronics, Ulica Jána Bottu 2781/25, 917 24 Trnava, Slovak Republic
Važan Pavel: Slovak University Of Technology In Bratislava, Faculty Of Materials Science And Technology In Trnava, Institute Of Applied Informatics, Automation And Mechatronics, Ulica Jána Bottu 2781/25, 917 24 Trnava, Slovak Republic
Pulišová Simona: Slovak University Of Technology In Bratislava, Faculty Of Materials Science And Technology In Trnava, Institute Of Applied Informatics, Automation And Mechatronics, Ulica Jána Bottu 2781/25, 917 24 Trnava, Slovak Republic

Research Papers Faculty of Materials Science and Technology Slovak University of Technology, 2021, vol. 29, issue 49, 51-58

Abstract: As the term of Industry 4.0 becomes more and more relevant with each passing day, it is up to researchers and companies to find solutions to integrating all the technologies it covers. One of those technologies, even though not highly developed, is simulation and building Cyber-Physical Systems for gathering data and improving the production processes. In the research described in this paper, we focused on integrating production data with simulation models in order to make the process of understanding and learning about complex production systems as simple and as quick as possible. This paper contains three sections. The first one introduces the theoretical fundamentals of our research. The second one focuses on the methods used to create a digital model of production system. The final one discusses the results of the conducted experiments, and their impact on further research.

Keywords: Digital Twin; Simulation; Witness; AFB Factory (search for similar items in EconPapers)
Date: 2021
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Persistent link: https://EconPapers.repec.org/RePEc:vrs:repfms:v:29:y:2021:i:49:p:51-58:n:8

DOI: 10.2478/rput-2021-0024

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