Research Article
Application of Improved Genetic Algorithm in Heat Treatment Production Line of Aviation Manufacturing Enterprises
@INPROCEEDINGS{10.4108/eai.8-12-2023.2344787, author={Yuning Wang and Daye Xie and Cong Suo and Qingyang Jiao and Mingang Yin}, title={Application of Improved Genetic Algorithm in Heat Treatment Production Line of Aviation Manufacturing Enterprises}, proceedings={Proceedings of the 5th Management Science Informatization and Economic Innovation Development Conference, MSIEID 2023, December 8--10, 2023, Guangzhou, China}, publisher={EAI}, proceedings_a={MSIEID}, year={2024}, month={4}, keywords={optimization nsga2 simulation treatment production line}, doi={10.4108/eai.8-12-2023.2344787} }- Yuning Wang
Daye Xie
Cong Suo
Qingyang Jiao
Mingang Yin
Year: 2024
Application of Improved Genetic Algorithm in Heat Treatment Production Line of Aviation Manufacturing Enterprises
MSIEID
EAI
DOI: 10.4108/eai.8-12-2023.2344787
Abstract
In response to the problem of high production volume and complex variable space in heat treatment production lines, such as KPI indicators (including production volume, maintenance cost, production line cycle, waiting time, equipment utilization rate, etc.), this paper establishes targeted optimization objective functions and constraint functions for different products using the NSGA2 genetic algorithm based on the equivalent agent model. By comparing and analyzing the optimization results under different conditions, the optimal maintenance strategy for the heat treatment production line was obtained.
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