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