图片搜索

   粘贴图片网址
Modeling and Optimization for Automobile Mixed Assembly Line in Industry 4.0
Gong, Lixiong1,2; Zou, Bingqian3; Kan, Zhiqun2
2019
发表期刊JOURNAL OF CONTROL SCIENCE AND ENGINEERING
ISSN1687-5249
EISSN1687-5257
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
DOI10.1155/2019/3105267
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
被引频次:12[WOS]   [WOS记录]     [WOS相关记录]
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).
条目包含的文件 下载所有文件
文件名称/大小 文献类型 版本类型 开放类型 使用许可
Gong-2019-Modeling a(3695KB)期刊论文出版稿开放获取CC BY-NC-SA浏览 下载
个性服务
查看访问统计
谷歌学术
谷歌学术中相似的文章
[Gong, Lixiong]的文章
[Zou, Bingqian]的文章
[Kan, Zhiqun]的文章
百度学术
百度学术中相似的文章
[Gong, Lixiong]的文章
[Zou, Bingqian]的文章
[Kan, Zhiqun]的文章
必应学术
必应学术中相似的文章
[Gong, Lixiong]的文章
[Zou, Bingqian]的文章
[Kan, Zhiqun]的文章
相关权益政策
暂无数据
收藏/分享
文件名: Gong-2019-Modeling and Optimization for Automo.pdf
格式: Adobe PDF
所有评论 (0)
暂无评论
 

除非特别说明,本系统中所有内容都受版权保护,并保留所有权利。