Particle Swarm Algorithm Based Scheduling Method for Flexible Production Line

The State Council in “Made in China 2025” clearly put forward to vigorously promote the integration of information technology and industrialization, to achieve technological breakthroughs in key areas in aerospace equipment. In the next decade, China's demand for aircraft will continue to increase, which requires high manufacturing efficiency and fast response speed of aircraft parts. However, in actual production, the research and application of the production line scheduling algorithm is still relatively small, which leads to the actual production cannot play out the maximum efficiency of the production line. In view of the above problems, this paper takes the actual flexible production line as the research object, establishes the scheduling model in line with the actual production on the spot, and uses the optimized particle swarm algorithm to solve the model, to obtain the optimal solution to meet the requirements of the actual scheduling, so as to give full play to the maximum efficiency of the production.

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Publication Details

Published
2024-12-17
DOI
https://doi.org/10.1109/icarce63054.2024.00061
Primary Topic
Scheduling and Optimization Algorithms
Type
article
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article

Particle Swarm Algorithm Based Scheduling Method for Flexible Production Line

Huajian Tan, Lin Ye, Xi Zhao, Xuebin Lü
Scheduling and Optimization Algorithms
article

Particle Swarm Algorithm Based Scheduling Method for Flexible Production Line

Huajian Tan, Lin Ye, Xi Zhao, Xuebin Lü
article en

Abstract

The State Council in “Made in China 2025” clearly put forward to vigorously promote the integration of information technology and industrialization, to achieve technological breakthroughs in key areas in aerospace equipment. In the next decade, China's demand for aircraft will continue to increase, which requires high manufacturing efficiency and fast response speed of aircraft parts. However, in actual production, the research and application of the production line scheduling algorithm is still relatively small, which leads to the actual production cannot play out the maximum efficiency of the production line. In view of the above problems, this paper takes the actual flexible production line as the research object, establishes the scheduling model in line with the actual production on the spot, and uses the optimized particle swarm algorithm to solve the model, to obtain the optimal solution to meet the requirements of the actual scheduling, so as to give full play to the maximum efficiency of the production.

Craft Group (China) (CN)
Openalex Percentile: Top 57%
Scheduling and Optimization Algorithms
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