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基于粒子群优化算法的柔性生产线排产方法

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大力推进信息化和工业化的融合,要在航空航天装备上实现重点领域的技术突破.在未来十年,我国对飞机的需求将会持续加大,这就要求飞机零件的制造效率要高、响应速度要快.但实际生产中,对生产线排产算法的研究与应用还比较少,这就导致实际生产不能发挥出生产线的最大效能.针对上述问题,对实际柔性生产线进行了研究,建立符合现场生产实际的排产调度模型,采用优化的粒子群算法对模型进行求解,得到满足实际排产要求的最优解,使其发挥最大生产效能.
Scheduling Method of Flexible Production Line Based on Particle Swarm Optimization Algorithm
To vigorously promote the integration of information and industrialization,we should achieve technological breakthroughs in key fields of aerospace equipment.In the next decade,China's demand for aircraft will continue to increase,which requires aircraft parts to be manufactured with high efficiency and fast response time.But the research and application of the production line scheduling algorithm are still relatively few,which leads to the actual production line can not play the maximum efficiency.Aiming at the above problems,this paper takes the actual flexible production line as the research object,establishes the production scheduling model in line with the actual field production,and then uses the optimized particle swarm optimization algorithm to solve the model and gets the optimal solution.

AerospaceFlexible production lineSchedulingParticle swarm optimization algorithmJob-shop scheduling problem

玉海龙、何陶

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航空工业成都飞机工业(集团)有限责任公司,成都 610092

航空航天 柔性生产线 排产 粒子群优化算法 车间调度问题

2024

航空制造技术
北京航空制造工程研究所

航空制造技术

CSTPCD北大核心
影响因子:0.403
ISSN:1671-833X
年,卷(期):2024.67(6)
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