| Autor: |
dos Santos, Carlos Henrique, Campos, Afonso Teberga, Montevechi, José Arnaldo Barra, de Carvalho Miranda, Rafael, do Amaral, João Victor Soares, de Queiroz, José Antonio |
| Předmět: |
|
| Zdroj: |
International Journal of Advanced Manufacturing Technology; Feb2023, Vol. 124 Issue 7/8, p2423-2435, 13p |
| Abstrakt: |
This work proposes the development of a tool focused on monitoring simulation-based digital twins (DTs). Although it has been a popular approach in recent years, adopting DT simulation models for decision support in production systems implies some challenges, emphasizing the need for techniques to ensure the accreditation of the models over time. In this case, since the literature does not present alternatives for evaluating DTs models during their operation, this work proposes a tool based on the K-near neighbors (K-NN) classifier and the p control chart. In this way, it is possible to compare the behavior of the physical and virtual environments, monitoring the DT to guarantee its accreditation to support decisions. To assess the applicability of the proposed approach, we applied it to two real study objects with different characteristics, where the tool was able to evaluate the DTs simulation models. As a result, we observed that the proposed tool acted as a supplement to the DTs in order to make them more robust and reliable. Moreover, it was possible to monitor DTs with several evaluation variables in a simple way and with a friendly interface. [ABSTRACT FROM AUTHOR] |
| Databáze: |
Complementary Index |
| Externí odkaz: |
|
|
Nepřihlášeným uživatelům se plný text nezobrazuje |
K zobrazení výsledku je třeba se přihlásit.
|
