Modeling and Optimization for Automobile Mixed Assembly Line in Industry 4.0 | |
Gong, Lixiong1,2; Zou, Bingqian3![]() | |
2019 | |
发表期刊 | JOURNAL OF CONTROL SCIENCE AND ENGINEERING
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ISSN | 1687-5249 |
EISSN | 1687-5257 |
卷号 | 2019 |
摘要 | Industry 4.0 promotes the development of traditional manufacturing industry to digitization, networking, and intellectualization. Smart factory is composed of network that includes production equipment, robot, conveyor, and logistics system. According to the characteristics of the mixed flow assembly, a simulation platform of automobile mixed flow assembly is built based on industry 4.0 in the paper, which operates and manages automobile assembly, logistics warehouse, and CPS effectively. On this basis, FlexSim software is adopted to establish the auto-mixed assembly model that finds out the bottleneck of auto-mixed assembly problem. By means of parameter adjustment, rearrangement, and merger of process, the whole assembly time of the 500 automobiles dropped by 33 hours, the equipment utilization rate increased by 20.19%, and the average blocked rate decreased by 21.19%. The optimized results show that the proposed model can greatly increase manufacturing efficiency and practical application in industry 4.0. © 2019 Lixiong Gong et al. |
关键词 | Assembly Automobile parts and equipment Industry 4.0 Automobile assemblies Equipment utilization Flexsim softwares Manufacturing efficiency Modeling and optimization Parameter adjustments Production equipments Traditional manufacturing |
DOI | 10.1155/2019/3105267 |
收录类别 | EI ; ESCI |
语种 | 英语 |
WOS研究方向 | Automation & Control Systems |
WOS类目 | Automation & Control Systems |
WOS记录号 | WOS:000463490900001 |
出版者 | Hindawi Limited, 410 Park Avenue, 15th Floor, 287 pmb, New York, NY 10022, United States |
EI入藏号 | 20191506761012 |
EI分类号 | 662.4 Automobile and Smaller Vehicle Components |
原始文献类型 | Journal article (JA) |
出版地 | LONDON |
引用统计 | |
文献类型 | 期刊论文 |
条目标识符 | https://ir.cqcet.edu.cn/handle/39TD4454/3010 |
专题 | 智能制造与汽车学院 |
作者单位 | 1.School of Mechanical Engineering, Hubei University of Technology, Hubei, Wuhan, China; 2.College of Mechanical Engineering, Chongqing University of Technology, Chongqing, China; 3.Chongqing College of Electronic Engineering, Chongqing, China |
推荐引用方式 GB/T 7714 | Gong, Lixiong,Zou, Bingqian,Kan, Zhiqun. Modeling and Optimization for Automobile Mixed Assembly Line in Industry 4.0[J]. JOURNAL OF CONTROL SCIENCE AND ENGINEERING,2019,2019. |
APA | Gong, Lixiong,Zou, Bingqian,&Kan, Zhiqun.(2019).Modeling and Optimization for Automobile Mixed Assembly Line in Industry 4.0.JOURNAL OF CONTROL SCIENCE AND ENGINEERING,2019. |
MLA | Gong, Lixiong,et al."Modeling and Optimization for Automobile Mixed Assembly Line in Industry 4.0".JOURNAL OF CONTROL SCIENCE AND ENGINEERING 2019(2019). |
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