Research on design of the smart factory for forging enterprise in the industry 4.0 environment

被引：25
|
作者：
Pei, Fengque [1 ]
Tong, Yifei [1 ]
He, Fei [1 ]
Li, Dongbo [1 ]
机构：
[1] Nanjing Univ Sci & Technol, Sch Mech Engn, Nanjing 210094, Jiangsu, Peoples R China
来源：
MECHANIKA | 2017年 / 23卷 / 01期
关键词：
Smart factory; RFID; Fuzzy clustering(FCM); System Layout Planning;
D O I：
10.5755/j01.mech.23.1.13662
中图分类号：
O3 [力学];
学科分类号：
08 ; 0801 ;
摘要：
A new generation of the industrial revolution whose codes are intelligent manufacturing has a huge demand for intelligent production. Based on the information of the Industry 4.0 and Made in China 2025, an intelligent plant design and planning have been proposed and presented in detail. Data acquisition based on RFID, data classification based on fuzzy clustering/Neural Networks, scheduling based on genetic algorithm are also discussed. For the future study, these key technologies will raise a wilerange research and twill make an important role in the construction of intelligent manufacturing. In addition, this study presents an optimization of fuzzy clustering by joining the grid algorithm which can shorten the processing time of the fuzzy clustering by meshing the data before fuzzy clustering. In general, this paper for the data acquisition, data classification, plant layout design, scheduling has a great significance to build the intelligent manufacturing systems.
引用
收藏
页码：146 / 152
页数：7
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