Design of Automated Production Line and Optimization of Production Scheduling for Die Casting of New Energy Vehicle Motor Shell

For the production of drive motors for new energy vehicles, this article focuses on the die-casting island as the production core. By adding robot modules in the handling and transfer process, the automation process around the die-casting island is improved to achieve automatic loading and unloading of the overall production process. Then, based on the production order requirements, the optimization of the entire production process of the motor order is taken as the scheduling objective. Production sorting optimization is carried out through scheduling sub batches, and a composite production cost composed of mold replacement cost, storage cost, and waiting time of the soup changing robotic arm is established as the objective function for optimizing the production scheduling of the die-casting workshop. In terms of solving the optimal solution, the simulated annealing algorithm is integrated into the particle swarm algorithm, and the improved particle swarm algorithm is used to optimize the objective function. Finally, the number of die-casting machines and orders in production are simulated to verify the effectiveness of the scheduling algorithm in this paper.

Authors

Publication Details

Journal
電腦學刊
Published
2025-02-28
DOI
https://doi.org/10.63367/199115992025023601018
Citations
1
Primary Topic
Manufacturing Process and Optimization
Type
article
Field-Weighted Citation Impact
1.24
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article

Design of Automated Production Line and Optimization of Production Scheduling for Die Casting of New Energy Vehicle Motor Shell

Hui Lu, Dalei Zhang, Yan Lu
1 citations
電腦學刊
Manufacturing Process and Optimization
1.24
article

Design of Automated Production Line and Optimization of Production Scheduling for Die Casting of New Energy Vehicle Motor Shell

Hui Lu, Dalei Zhang, Yan Lu
article en
1 citations

Abstract

For the production of drive motors for new energy vehicles, this article focuses on the die-casting island as the production core. By adding robot modules in the handling and transfer process, the automation process around the die-casting island is improved to achieve automatic loading and unloading of the overall production process. Then, based on the production order requirements, the optimization of the entire production process of the motor order is taken as the scheduling objective. Production sorting optimization is carried out through scheduling sub batches, and a composite production cost composed of mold replacement cost, storage cost, and waiting time of the soup changing robotic arm is established as the objective function for optimizing the production scheduling of the die-casting workshop. In terms of solving the optimal solution, the simulated annealing algorithm is integrated into the particle swarm algorithm, and the improved particle swarm algorithm is used to optimize the objective function. Finally, the number of die-casting machines and orders in production are simulated to verify the effectiveness of the scheduling algorithm in this paper.

電腦學刊Vol. 36(1)
Openalex Percentile: Top 22%
Manufacturing Process and Optimization
1.24
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