Modeling and Optimization for Automobile Mixed Assembly Line in Industry 4.0
Joint Authors
Gong, Lixiong
Zou, Bingqian
Kan, Zhiqun
Source
Journal of Control Science and Engineering
Issue
Vol. 2019, Issue 2019 (31 Dec. 2019), pp.1-10, 10 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2019-03-20
Country of Publication
Egypt
No. of Pages
10
Main Subjects
Electronic engineering
Information Technology and Computer Science
Abstract EN
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.
American Psychological Association (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،Vol. 2019, no. 2019, pp.1-10.
https://search.emarefa.net/detail/BIM-1172457
Modern Language Association (MLA)
Gong, Lixiong…[et al.]. Modeling and Optimization for Automobile Mixed Assembly Line in Industry 4.0. Journal of Control Science and Engineering No. 2019 (2019), pp.1-10.
https://search.emarefa.net/detail/BIM-1172457
American Medical Association (AMA)
Gong, Lixiong& Zou, Bingqian& Kan, Zhiqun. Modeling and Optimization for Automobile Mixed Assembly Line in Industry 4.0. Journal of Control Science and Engineering. 2019. Vol. 2019, no. 2019, pp.1-10.
https://search.emarefa.net/detail/BIM-1172457
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1172457