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. |
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.
|
条目包含的文件 | 条目无相关文件。 |
|
除非特别说明,本系统中所有内容都受版权保护,并保留所有权利。
修改评论