中文版 | English
题名

Towards Assembly 4.0: Graduation intelligent manufacturing system for fixed-position assembly Islands

作者
通讯作者Guo, Daqiang
DOI
发表日期
2019
会议名称
9th IFAC/IFIP/IFORS/IISE/INFORMS Conference on Manufacturing Modelling, Management and Control (IFAC MIM)
ISSN
24058963
会议录名称
卷号
52
期号
13
页码
1513-1518
会议日期
AUG 28-30, 2019
会议地点
Berlin, GERMANY
出版者
摘要

The layout of fixed-position assembly islands is widely used in the equipment manufacturing industry. In this configuration, the product remains at one assembly island for its entire assembly period, while required workers, equipment and materials are moved to the island according to the assembly process and production plan. Such configuration is not only suitable for producing large, bulky, heavy or fragile products, but also offers considerable flexibility and competitive operational efficiency for products with medium variety and production volumes. However, inherently limited space, complex assembly processes, and high dynamic of material, equipment and manpower flows increase the complexity and chaotic dynamics with massive human interventions in fixed-position assembly islands. For overcoming these challenges, inspired by graduation ceremony, this paper proposes a novel manufacturing mode-Graduation Manufacturing System (GMS), in which three kinds of tickets are designed to organise and manage production activities in fixed-position assembly islands. Under the context of Industry 4.0, the pillars of Assembly 4.0 are discussed. Finally, based on the principles of Assembly 4.0, by integrating Internet of Things (IoT), Industrial Wearable (IW), and Machine Learning (ML) technologies, the framework of Graduation Intelligent Manufacturing System (GiMS) is developed.
© 2019, IFAC (International Federation of Automatic Control) Hosting by Elsevier Ltd. All rights reserved.

关键词
学校署名
通讯
语种
英语
相关链接[来源记录]
收录类别
资助项目
Science, Technology and Innovation Commission of Shenzhen Municipality[KQJSCX0170728162555608] ; [ITP/ 79/16LP]
WOS记录号
WOS:000504282400257
EI入藏号
20200608132486
EI主题词
Engineering Education ; Internet Of Things ; Learning Systems ; Machine Learning ; Manufacture ; Production Control ; Wearable Technology
EI分类号
Computer Software, Data HAndling And Applications:723 ; Education:901.2 ; Production Control:913.2 ; Manufacturing:913.4
Scopus记录号
2-s2.0-85078933179
来源库
Web of Science
引用统计
被引频次[WOS]:12
成果类型会议论文
条目标识符http://sustech.caswiz.com/handle/2SGJ60CL/104779
专题工学院_机械与能源工程系
作者单位
1.HKU-ZIRI Lab for Physical Internet, Department of Industrial and Manufacturing Systems Engineering, University of Hong Kong, Hong Kong, Hong Kong
2.Department of Mechanical and Energy Engineering, Southern University of Science and Technology, Shenzhen, China
第一作者单位机械与能源工程系
通讯作者单位机械与能源工程系
推荐引用方式
GB/T 7714
Guo, Daqiang,Lin, Peng,Lyu, Zhongyuan,et al. Towards Assembly 4.0: Graduation intelligent manufacturing system for fixed-position assembly Islands[C]:Elsevier B.V.,2019:1513-1518.
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