Research Article
Optimisation Study of Discrete Manufacturing Simulation of new Energy Vehiclebattery Packs Abstracts
@INPROCEEDINGS{10.4108/eai.17-11-2023.2342743, author={Chundi Zhao and Linli Zhang and Zhouyuan Liu and Xiao Shang and Linsen Song and Yiwen Zhang and Yan Gao}, title={Optimisation Study of Discrete Manufacturing Simulation of new Energy Vehiclebattery Packs Abstracts}, proceedings={Proceedings of the 5th International Conference on Economic Management and Model Engineering, ICEMME 2023, November 17--19, 2023, Beijing, China}, publisher={EAI}, proceedings_a={ICEMME}, year={2024}, month={2}, keywords={simulation modelling; discrete manufacturing; bottleneck processes; capacity optimisation;}, doi={10.4108/eai.17-11-2023.2342743} }- Chundi Zhao
Linli Zhang
Zhouyuan Liu
Xiao Shang
Linsen Song
Yiwen Zhang
Yan Gao
Year: 2024
Optimisation Study of Discrete Manufacturing Simulation of new Energy Vehiclebattery Packs Abstracts
ICEMME
EAI
DOI: 10.4108/eai.17-11-2023.2342743
Abstract
In recent years, the number of global new energy vehicles has soared, and production enterprises are facing problems such as increasing market demand and intensifying industry competition. The structural design and balance planning of the battery pack production line determine the output of new energy vehicles. This paper takes the battery pack assembly line of Q enterprise for new energy vehicles as the research object, calculates its capacity and station utilization rate through simulation software, and provides an effective design scheme for the formal production line construction.
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