锻压技术

基于Plant Simulation的钣金生产线仿真与优化

英文标题：Simulation and optimization on sheet metal production line based on Plant Simulation

作者：彭杰1 叶霞1 潘艳飞2 李仲树2

单位：1.江苏理工学院机械工程学院江苏常州 213001 2.江苏长江智能制造研究院有限责任公司江苏常州 213164

分类号：TH181

出版年,卷(期):页码：2025,50(6):277-284

摘要：

针对江苏长江智能制造研究院有限责任公司钣金生产线设备平均利用率较低和产能不足的问题，提出了基于Plant Simulation的生产线优化方案。首先，根据工艺路线建立了生产线数字化模型，运行仿真实验得到了生产线运行数据；其次，运用解释结构模型法，确定了影响生产线高效运行的深层因素为缓存区的设置问题；最后，利用遗传算法，通过仿真实验得到了缓存区数量与容量的配置，再次优化生产线并进行了验证。结果表明，经过优化的钣金生产线的设备平均利用率提高了24%，每小时产量从55件提升至127件，提高了130%，为同类型生产线的优化提供了参考。

For the problems of low average utilization rate of equipment and insufficient production capacity for a company metal sheet production line, a production line optimization scheme based on Plant Simulation was proposed. Firstly, the digital model of the production line was established according to the process route, and the operation data of the production line was obtained by running simulation experiments. Then, using the interpretative structural modeling method, it was determined that the underlying factor affecting the high-efficient operation of the production line was the setting of buffer area. Finally, through the genetic algorithm, the configuration of the number and capacity for buffer areas was obtained by simulation experiments, and the production line was optimized and verified again. The results show that the average utilization rate of equipment for the optimized sheet metal production line increases by 24%, and the hourly output increases from 55 to 127, an increase of 130%. Thus, this method provides a reference for the optimization of the same type of production line.

基金项目：

作者简介：彭杰（1998-），男，硕士研究生，E-mail：pjofficial@163.com；通信作者：叶霞（1973-），女，博士，教授，E-mail：yx_laser@163.com

参考文献：

[1]程杰杰. 基于Plant-Simulation的硅片生产线的仿真与优化研究 [D]. 天津：天津科技大学，2024.

Cheng J J.Simulation of Wafer Production Line Based on Plant-Simulation and Optimization Research[D].Tianjin：Tianjin University of Science and Technology，2024.

[2]胡飞. 基于Tecnomatix的铁路报废货车拆解线仿真与优化研究 [D]. 合肥：合肥工业大学，2023.

Hu F.Simulation and Optimization of Railway Scrapped Freight Wagon Disassembly Line Based on Tecnomatix[D].Hefei：Hefei University of Technology，2023.

[3]姜磊磊. 基于自定义流程的机器人产线作业仿真与优化技术研究 [D]. 浙江：浙江大学，2023.

Jiang L L.Research on Job Simulation and Optimization Technology of Robot Production Line Based on Process Customization[D].Zhejiang：Zhejiang University，2023.

[4]刘雪梅，刘涛，郭欢. 基于可用度评价的混联生产线缓冲区配置优化 [J]. 中国机械工程，2020，31(18): 2220-2230.

Liu X M，Liu T，Guo H. Optimization of buffer allocations in hybrid production lines based on availability evaluation[J]. China Mechanical Engineering，2020，31(18): 2220-2230.

[5]唐红涛，张缓. 基于绿色生产的混合流水车间调度问题研究 [J]. 工业工程，2022，25(3): 115-123.

Tang H T，Zhang H. A research on hybrid flow shop scheduling based on green production[J]. Industrial Engineering Journal，2022，25(3): 115-123.

[6]常春光，代宾宾. 预制构件生产-运输分批协同调度双目标优化 [J]. 工业工程与管理，2023，28(4): 82-93.

Chang C G，Dai B B. Bi-objective optimization of prefabricated component production transportation batching cooperative scheduling[J]. Industrial Engineering and Management，2023，28(4): 82-93.

[7]李春兴，徐健，易泰勋，等. 基于Plant Simulation的压气机叶片型线加工产线分析与优化 [J]. 机械制造与自动化，2024，53(1): 40-44.

Li C X，Xu J，Yi T X，et al. Analysis and optimization of compressor blade profile processing line based on Plant Simulation[J]. Machine Building & Automation，2024，53(1): 40-44.

[8]刘镇海，周友行，徐长锋. 基于Plant Simulation的路灯杆件生产线产能优化方案研究 [J]. 现代制造工程，2020(1): 35-42.

Liu Z H，Zhou Y H，Xu C F. Production optimization of street lamp rod production line based on Plant Simulation[J]. Modern Manufacturing Engineering，2020(1): 35-42.

[9]白帆，徐策，程星华，等. 基于Plant Simulation的半导体机台配置优化仿真分析[J]. 半导体技术， 2024， 49 (1): 103-108.

Bai F，Xu C，Cheng X H，et al. Simulation analysis of semiconductor machine configuration optimization based on Plant Simulation[J]. Semiconductor Technology， 2024， 49 (1): 103-108.

[10]陈杰，张松，杜春刚，等. 基于Plant Simulation的柴油机缸体生产线仿真与配置优化 [J]. 制造技术与机床，2019(3): 31-36.

Chen J，Zhang S，Du C G，et al. Production line simulation and its configuration optimization based on Plant Simulation for a diesel engine cylinder block[J]. Manufacturing Technology & Machine Tool，2019(3): 31-36.

[11]李慧，孙元亮，张超. 基于Plant Simulation的航空发动机叶片机加生产线仿真分析与优化 [J]. 组合机床与自动化加工技术，2019(7): 116-118.

Li H，Sun Y L，Zhang C. Simulation and optimization of an aero engine blades machining line based on Plant Simulation[J]. Modular Machine Tool & Automatic Manufacturing Technique，2019(7): 116-118.

[12]田世海，杨文蕊，王春梦. 基于VSM-ISM汽车空调铝扁管生产线优化及仿真 [J]. 工业工程与管理，2023，28(2): 79-89.

Tian S H，Yang W R，Wang C M. Production line optimization and simulation of automobile air conditioner aluminum flat tube based on VSM-ISM[J]. Industrial Engineering and Management，2023，28(2): 79-89.

[13]李泽军，都腾飞，李仲树. 基于柔性遗传算法的化工产线数字孪生仿真研究与优化 [J]. 制造业自动化，2023，45(11): 142-146，184.

Li Z J，Du T F，Li Z S. Research and optimization of chemical production line based on flexible genetic algorithm and digital twin[J]. Manufacturing Automation，2023，45(11):142-146，184.

[14]张子凯，唐秋华，张利平，等. 改进遗传算法求解大规模混流U型装配线问题[J]. 机械设计与制造，2016(1): 137-139，143.

Zhang Z K，Tang Q H，Zhang L P，et al. Balancing large-size mixed-model U-type assembly lines via improved genetic algorithm[J]. Machinery Design & Manufacture，2016(1): 137-139，143.

[15]张琦. 钣金件自动展开CAD软件设计及其优化排样 [D]. 西安：西北工业大学，2005.

Zhang Q. Automatic Unfolding and Nesting of Sheet Metal Part in Designing CAD Software[D]. Xi′an： Northwestern Polytechnical University，2005.

[16]杨尚，施乃勇，侯智. 基于Flexsim与遗传算法的混流组装线仿真与优化 [J]. 重庆理工大学学报(自然科学)，2021，35(3): 86-92.

Yang S，Shi N Y，Hou Z. Simulation and optimization of mixde flow assembly line based on Flexsim and genetic algorithm[J]. Journal of Chongqing University of Technology(Natural Science)，2021，35(3): 86-92.

服务与反馈：

【文章下载】【加入收藏】