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As the automotive industry accelerates its transformation toward intelligence, digitalization, and flexibility, logistics simulation technology centered on Plant Simulation has gradually become a core tool for factory material flow design and production capacity optimization. Taking the welding workshop of a specific vehicle model as an example, this paper systematically analyzes the principles, business processes, project prerequisites, and model construction of logistics simulation technology. It focuses on discussing simulation optimization scenarios such as full-line output simulation, single-factor multi-level experiments, and multi-factor cross-validation. Additionally, it comprehensively introduces 2 forward-looking trends in logistics simulation technology: sequential production for cost reduction and efficiency improvement, and real-time linkage between digital twins and Internet of Things (IoT) data.

, authors=Gongjie Dong, Yu Duan, Xin Zhi, authorsList=Gongjie Dong, Yu Duan, Xin Zhi, authorCompany=null, correspAuthors=null, authorNote=null, correspAuthorsNote=null, copyrightStatement=null, copyrightOwner=null, extLink=null, articleAbsUrl=null, sourceXml=null, magXml=null, pdfUrl=null, pdf=null, pdfFileSize=null, pdfExtLink=null, richHtmlUrl=null, mobilePdfUrl=null, reviewReport=null, pdfFirstPage=null, abstractGraph=null, abstractGraphContent=null, abstractVideo=null, citation=null, cebUrl=null, magXmlContent=null, mapNumber=null, fund=null), CN=ArticleExt(id=1309475196608807692, articleId=1309475196260680458, tenantId=1146029695717560320, journalId=1189873562199433220, language=CN, title=基于Plant Simulation的焊装车间物流仿真优化研究, columnId=1192072540240626067, journalTitle=汽车工艺与材料, columnName=生产装备, runingTitle=null, highlight=null, articleAbstract=

随着汽车工业加速向智能化、数字化与柔性化转型,以Plant Simulation为核心的物流仿真技术逐渐成为工厂物料流设计与产能输出优化的核心工具,以某车型焊装车间为例,系统解析了物流仿真技术原理、业务流程、项目前提、模型搭建,重点探讨了整线输出仿真、单因子多级试验、多因子交叉验证等仿真优化场景,综合介绍了物流仿真技术的两大前瞻动态:按序生产、数字孪生与物联网(IoT)数据实时联动。

, authors=董功杰, 段宇, 支昕, authorsList=董功杰, 段宇, 支昕, authorCompany=null, correspAuthors=null, authorNote=

董功杰(1994—),男,工程师,硕士学位,研究方向为汽车车身规划、轻量化连接、物流仿真、质量体系。

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董功杰(1994—),男,工程师,硕士学位,研究方向为汽车车身规划、轻量化连接、物流仿真、质量体系。

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董功杰(1994—),男,工程师,硕士学位,研究方向为汽车车身规划、轻量化连接、物流仿真、质量体系。

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基于Plant Simulation的焊装车间物流仿真优化研究
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董功杰 , 段宇 , 支昕
汽车工艺与材料 | 生产装备 2026,(4): 64-72
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汽车工艺与材料 |生产装备 2026 , (4) : 64 -72
基于Plant Simulation的焊装车间物流仿真优化研究
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董功杰, 段宇, 支昕
作者信息
  • 北京奔驰汽车有限公司车身与喷漆规划部,北京 100000
作者简介:

董功杰(1994—),男,工程师,硕士学位,研究方向为汽车车身规划、轻量化连接、物流仿真、质量体系。

Research on Optimization of Body Shop Material Flow Simulation Based on Plant Simulation
Gongjie Dong, Yu Duan, Xin Zhi
Affiliations
  • Body & Paint planning, Beijing Benz Automotive Co., Beijing 100000
出版时间: 2026-04-20 doi: 10.19710/J.cnki.1003-8817.20250209
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随着汽车工业加速向智能化、数字化与柔性化转型,以Plant Simulation为核心的物流仿真技术逐渐成为工厂物料流设计与产能输出优化的核心工具,以某车型焊装车间为例,系统解析了物流仿真技术原理、业务流程、项目前提、模型搭建,重点探讨了整线输出仿真、单因子多级试验、多因子交叉验证等仿真优化场景,综合介绍了物流仿真技术的两大前瞻动态:按序生产、数字孪生与物联网(IoT)数据实时联动。

物流仿真  /  物料流设计  /  产能优化  /  数字孪生

As the automotive industry accelerates its transformation toward intelligence, digitalization, and flexibility, logistics simulation technology centered on Plant Simulation has gradually become a core tool for factory material flow design and production capacity optimization. Taking the welding workshop of a specific vehicle model as an example, this paper systematically analyzes the principles, business processes, project prerequisites, and model construction of logistics simulation technology. It focuses on discussing simulation optimization scenarios such as full-line output simulation, single-factor multi-level experiments, and multi-factor cross-validation. Additionally, it comprehensively introduces 2 forward-looking trends in logistics simulation technology: sequential production for cost reduction and efficiency improvement, and real-time linkage between digital twins and Internet of Things (IoT) data.

Material flow simulation  /  Process flow design  /  Capacity optimization  /  Digital twin
董功杰, 段宇, 支昕. 基于Plant Simulation的焊装车间物流仿真优化研究. 汽车工艺与材料, 2026 , (4) : 64 -72 . DOI: 10.19710/J.cnki.1003-8817.20250209
Gongjie Dong, Yu Duan, Xin Zhi. Research on Optimization of Body Shop Material Flow Simulation Based on Plant Simulation[J]. Automobile Technology & Material, 2026 , (4) : 64 -72 . DOI: 10.19710/J.cnki.1003-8817.20250209

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doi: 10.19710/J.cnki.1003-8817.20250209
  • 首发时间:2026-09-23
  • 出版时间:2026-04-20
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2种不同金属材料的力学参数
科
Family
属数
Number of
genus
种数
Number of
species
占总种数比例
Percentage of
total species (%)
属
Genus
种数
Number of
species
占总种数比例
Percentage of total
species (%)
鹅膏菌科Amanitaceae 2 11 5.26 鹅膏菌属 Amanita 10 4.78
小菇科 Mycenaceae 2 12 5.74 丝盖伞属 Inocybe 5 2.39
多孔菌科 Polyporaceae 8 14 6.70 蜡蘑属 Laccaria 5 2.39
红菇科 Russulaceae 3 23 11.00 小皮伞属 Marasmius 6 2.87
小菇属 Mycena 11 5.26
光柄菇属 Pluteus 5 2.39
红菇属 Russula 17 8.13
栓菌属 Trametes 5 2.39
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