研究成果 / 2023 / 会议论文
Data-Driven Smart Maintenance Decision Analysis: A Drone Factory Demonstrator Combining Digital Twins and Adapted AHP
数据驱动的智能维护决策分析：结合数字孪生与改进 AHP 的无人机工厂演示
Proceedings - Winter Simulation Conference · 2023
摘要
原始英文摘要
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.
原始来源: Chalmers Research ↗
这项研究在做什么
无人机工厂数字孪生可在不中断真实生产的情况下比较维护策略。演示系统评估假设场景，并结合绩效指标与结构化决策分析。
研究要点
- 构建面向实验室无人机生产线的智能维护数字孪生演示系统。
- 评估不同维护场景下的生产绩效。
- 将场景分析、结构化决策过程与绩效指标相结合。
引用这项成果
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}
}
英文摘要来自所链接的原始记录；研究解读和要点用于简要说明论文内容。