计算机集成制造系统2024,Vol.30Issue(6) :2025-2035.DOI:10.13196/j.cims.2021.0887

汽车整车多级生产线协同排序优化方法

Collaborative sequencing optimization method for automobile multi-stage production line

李聪波 赵德 杨秒 常永生 赖佐强
计算机集成制造系统2024,Vol.30Issue(6) :2025-2035.DOI:10.13196/j.cims.2021.0887

汽车整车多级生产线协同排序优化方法

Collaborative sequencing optimization method for automobile multi-stage production line

李聪波 1赵德 1杨秒 1常永生 2赖佐强2
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作者信息

  • 1. 重庆大学机械传动国家重点实验室,重庆 400044
  • 2. 重庆长安汽车股份有限公司,重庆 404100
  • 折叠

摘要

为满足汽车整车生产线不同工艺车间对车身序列的不同需求,提高汽车生产线多工艺车间的协同生产能力并降低生产成本,提出一种面向汽车整车多级生产线的协同排序优化方法.分析了汽车生产过程中不同工艺车间对车身序列的不同需求,在考虑焊接车间车型更换次数、涂装车间颜色更换次数、总装车间总超载和空闲时间、总装车间物料消耗均衡等传统优化目标的基础上,搭建了缓冲区重排序成本的目标函数,并以此构建了汽车整车多级生产线协同排序多目标优化模型,然后采用基于启发式出入站规则的第三代非支配排序遗传算法对模型进行优化求解.最后通过某公司的实际生产案例,验证了所提模型和方法的有效性.

Abstract

To satisfy the requirements of automobile sequence in different processes of automobile production line,a collaborative sequencing optimization method for multi-stage automobile production line was proposed to improve the collaborative production capacity of multi-process workshop and reduce the production cost.The requirements of different processes were analyzed for automobile production line,and the re-sequence cost of the buffers was estab-lished by considering traditional optimization objectives such as the number of model changes in welding shop,the number of color changes in painting shop,the total overload and idle time in assembly shop,the material consump-tion rate in assembly shop.On this basis,a multi-objective optimization model of collaborative sequencing for auto-mobile multi-stage production line was established.A NSGA-Ⅲ based on inbound and outbound rules was used to optimize the model.Finally,the effectiveness of the proposed model and method was verified by a case study.

关键词

汽车整车/多级生产线/协同排序/多目标优化

Key words

automobile body/multi-stage production line/collaborative sequencing/multi-objective optimization

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基金项目

国家重点研发计划资助项目(2019YFB1706103)

中央高校基本科研业务费资助项目(2023CDJKYJH024)

重庆市技术创新与应用发展专项资助项目(cstc2020jscxmsxmX0221)

出版年

2024
计算机集成制造系统
中国兵器工业集团第210研究所

计算机集成制造系统

CSTPCD北大核心
影响因子:1.092
ISSN:1006-5911
参考文献量2
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