Forskningsbibliotek / 2023 / Konferensbidrag
Data-Driven Smart Maintenance Decision Analysis: A Drone Factory Demonstrator Combining Digital Twins and Adapted AHP
Proceedings - Winter Simulation Conference · 2023
Abstract
Engelskt originalabstract
The concept of Digital Twins has gained significant attention in recent years due to its potential for improving the performance of production systems. One promising area for Digital Twins is Smart Maintenance, enabling the simulation of different strategies without disrupting operations in the real system. This study proposes a high-level framework to integrate Digital Twins to support Smart Maintenance data-driven decision making in production lines. We implement, then, a case study of a lab scale drone factory to demonstrate how the production line performance evaluation is made under different what-if maintenance scenarios. The effects of this Smart Maintenance decision analysis approach were evaluated according to Key Performance Indicators from literature. The identified contributions are: (i) Digital Twin demonstrator focused on smart maintenance; (ii) implementation of smart maintenance data-driven decision analysis concepts; (iii) design and evaluation of what-if maintenance scenarios.
Originalkälla: Chalmers Research ↗
I korthet
En digital tvilling av en drönarfabrik stödjer jämförelser av underhåll utan att störa verklig produktion. Demonstratorn utvärderar scenarier och förenar nyckeltal med strukturerad beslutsanalys.
Huvudpunkter
- Utvecklar en digital tvilling för smart underhåll i en drönarlinje i laboratorieskala.
- Utvärderar produktionsprestanda under olika underhållsscenarier.
- Förenar scenarioanalys med en strukturerad beslutsprocess och nyckeltal.
Citera arbetet
Paulo Victor Lopes, Siyuan Chen, Juan Pablo González Sánchez, Ebru Turanoglu Bekar, Jon Bokrantz, Anders Skoogh (2023). Data-Driven Smart Maintenance Decision Analysis: A Drone Factory Demonstrator Combining Digital Twins and Adapted AHP. Proceedings - Winter Simulation Conference, 2023, pp. 1996–2007. https://doi.org/10.1109/WSC60868.2023.10408351
@inproceedings{Chen2023DigitalTwinMaintenance,
title = {{Data-Driven Smart Maintenance Decision Analysis: A Drone Factory Demonstrator Combining Digital Twins and Adapted AHP}},
author = {Lopes, Paulo Victor and Chen, Siyuan and González Sánchez, Juan Pablo and Turanoglu Bekar, Ebru and Bokrantz, Jon and Skoogh, Anders},
year = {2023},
booktitle = {2023 Winter Simulation Conference (WSC)},
volume = {2023},
pages = {1996--2007},
doi = {10.1109/WSC60868.2023.10408351},
url = {https://research.chalmers.se/en/publication/540104}
}
Originalabstractet återges från den länkade källposten. Översikten och huvudpunkterna ger korta förklaringar av studien.