Modeling and Optimization for Automobile Mixed Assembly Line in Industry 4.0
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 assembl...
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Format: | Article |
Language: | English |
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Wiley
2019-01-01
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Series: | Journal of Control Science and Engineering |
Online Access: | http://dx.doi.org/10.1155/2019/3105267 |
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author | Lixiong Gong Bingqian Zou Zhiqun Kan |
author_facet | Lixiong Gong Bingqian Zou Zhiqun Kan |
author_sort | Lixiong Gong |
collection | DOAJ |
description | 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. |
format | Article |
id | doaj-art-33ddb573f691465da897bff2814e6484 |
institution | Kabale University |
issn | 1687-5249 1687-5257 |
language | English |
publishDate | 2019-01-01 |
publisher | Wiley |
record_format | Article |
series | Journal of Control Science and Engineering |
spelling | doaj-art-33ddb573f691465da897bff2814e64842025-02-03T05:49:34ZengWileyJournal of Control Science and Engineering1687-52491687-52572019-01-01201910.1155/2019/31052673105267Modeling and Optimization for Automobile Mixed Assembly Line in Industry 4.0Lixiong Gong0Bingqian Zou1Zhiqun Kan2School of Mechanical Engineering, Hubei University of Technology, Hubei, Wuhan, ChinaChongqing College of Electronic Engineering, Chongqing, ChinaCollege of Mechanical Engineering, Chongqing University of Technology, Chongqing, ChinaIndustry 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.http://dx.doi.org/10.1155/2019/3105267 |
spellingShingle | Lixiong Gong Bingqian Zou Zhiqun Kan Modeling and Optimization for Automobile Mixed Assembly Line in Industry 4.0 Journal of Control Science and Engineering |
title | Modeling and Optimization for Automobile Mixed Assembly Line in Industry 4.0 |
title_full | Modeling and Optimization for Automobile Mixed Assembly Line in Industry 4.0 |
title_fullStr | Modeling and Optimization for Automobile Mixed Assembly Line in Industry 4.0 |
title_full_unstemmed | Modeling and Optimization for Automobile Mixed Assembly Line in Industry 4.0 |
title_short | Modeling and Optimization for Automobile Mixed Assembly Line in Industry 4.0 |
title_sort | modeling and optimization for automobile mixed assembly line in industry 4 0 |
url | http://dx.doi.org/10.1155/2019/3105267 |
work_keys_str_mv | AT lixionggong modelingandoptimizationforautomobilemixedassemblylineinindustry40 AT bingqianzou modelingandoptimizationforautomobilemixedassemblylineinindustry40 AT zhiqunkan modelingandoptimizationforautomobilemixedassemblylineinindustry40 |