朱景山,胡涛,阳静,王进,蔡乐.基于遗传算法的空投捆绑包装线平衡优化方法研究[J].包装工程,2025,(9):316-323.
ZHU Jingshan,HU Tao,YANG Jing,WANG Jin,CAI Le.Optimization Method of Airborne Bundle Packaging Line Balance Based on Genetic Algorithm[J].Packaging Engineering,2025,(9):316-323. |
| 基于遗传算法的空投捆绑包装线平衡优化方法研究 |
| Optimization Method of Airborne Bundle Packaging Line Balance Based on Genetic Algorithm |
| 投稿时间：2025-03-03 |
| DOI：10.19554/j.cnki.1001-3563.2025.09.036 |
| 中文关键词: 空投 捆绑包装 数学模型 遗传算法 |
| 英文关键词:airborne bundle packaging mathematical model genetic algorithm |
| 基金项目: |
| 作者 | 单位 |
| 朱景山 | 海军工程大学 管理工程与装备经济系，武汉 430033;空降兵研究所，湖北 孝感 432100 |
| 胡涛 | 海军工程大学 管理工程与装备经济系，武汉 430033 |
| 阳静 | 空降兵研究所，湖北 孝感 432100 |
| 王进 | 95857部队，湖北 孝感 432100 |
| 蔡乐 | 军委审计署广州审计中心，广州 510623 |
|
| Author | Institution |
| ZHU Jingshan | Department of Management Economics, Naval University of Engineering, Wuhan 430033, China;Institute of Paratroops, Hubei Xiaogan 432100, China |
| HU Tao | Department of Management Economics, Naval University of Engineering, Wuhan 430033, China |
| YANG Jing | Institute of Paratroops, Hubei Xiaogan 432100, China |
| WANG Jin | 95857 Unit, Hubei Xiaogan 432100, China |
| CAI Le | Guangzhou Audit Center, Audit Office of the Central Military Commission, Guangzhou 510623, China |
|
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| 中文摘要: |
| 目的 优化空投捆绑包装线工序安排，改善工作平衡，并提升保障效率。方法 针对按现行空投捆绑包装方法设计的空投捆绑包装线，基于遗传算法建立空投捆绑包装线平衡问题数学模型和设计算法，通过Matlab运行算法对空投捆绑包装线工序进行优化安排，比较优化前后的最小生产节拍、平衡率、平滑指数等指标。结果 根据关键指标对比分析，相较于优化前，基于遗传算法改进的空投捆绑包装线的最小生产节拍缩短125 s，平衡率提升12.9%，平滑指数降低134.66。结论 基于遗传算法构建的空投捆绑包装线平衡问题数学模型和优化算法可行，优化后较好地改善了工作平衡和提高了保障效率，可为改进空投捆绑包装保障条件提供参考和借鉴。 |
| 英文摘要: |
| The work aims to optimize the process arrangement of airborne bundling packaging line, improve the work balance and enhance the guarantee efficiency. Aiming at the airborne bundle packaging line designed according to the current airborne bundle packaging method, the mathematical model and design algorithm of the airborne bundle packaging line balance problem were established based on the genetic algorithm. The process of the airborne bundle packaging line was optimized by Matlab algorithm, and the minimum production beat, balance rate, and smoothness index and other indicators were compared before and after optimization. According to the comparative analysis of key indicators, compared with the minimum production beat before optimization, the improved airborne bundle packaging line based on the genetic algorithm was shortened by 125 seconds, the balance rate increased by 12.9%, and the smoothness index was reduced by 134.66. The mathematical model and optimization algorithm for the balance problem of airborne bundle packaging lines constructed based on the genetic algorithm are feasible. After optimization, the work balance and guarantee efficiency can be improved well, which can provide reference for improving the guarantee conditions of airborne bundle packaging. |
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