Modeling and optimization for automobile mixed assembly line in industry 4.0
type: Item
instance of: scholarly article
title: Modeling and optimization for automobile mixed assembly line in industry 4.0
zbMATH Open document ID: 1416.93135
DOI: 10.1155/2019/3105267
author: Lixiong Gong
author: Bingqian Zou
author: Zhiqun Kan
published in: Journal of Control Science and Engineering
publication date: 2019-06-26T00:00:00Z
review text: Summary: 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.
Mathematics Subject Classification ID: 93C85
Mathematics Subject Classification ID: 93A30
zbMATH DE Number: 7073710
zbMATH Keywords: automobile mixed assembly line
zbMATH Keywords: modeling
zbMATH Keywords: industry 4.0
describes a project that uses: FLEXSIM
MaRDI profile type: Publication
full work available at URL: https://doi.org/10.1155/2019/3105267
OpenAlex ID: W2924153355
Wikidata QID: Q128184645
description: scientific article; zbMATH DE number 7073710