Digital twin and big data-driven sustainable smart manufacturing based on information management systems for energy-intensive industries

被引：0
|
作者：
Ma, Shuaiyin [1 ,2 ,3 ,4 ]
Ding, Wei [1 ,2 ,3 ,4 ]
Liu, Yang [5 ,6 ]
Ren, Shan [7 ]
Yang, Haidong [8 ]
机构：
[1] School of Computer Science and Technology, Xi'an University of Posts and Telecommunications, Xi'an,710121, China
[2] Shaanxi Key Laboratory of Network Data Analysis and Intelligent Processing, Xi'an University of Posts and Telecommunications, Xi'an,710121, China
[3] Xi'an Key Laboratory of Big Data and Intelligent Computing, Xi'an,710121, China
[4] Shaanxi Union Research Center of University and Enterprise for 5G+ Industrial Internet Communication Terminal Technology, Xi'an University of Posts and Telecommunications, Xi'an,710121, China
[5] Department of Management and Engineering, Linköping University, Linköping,SE-581 83, Sweden
[6] Industrial Engineering and Management, University of Oulu, Oulu,90570, Finland
[7] School of Modern Post, Xi'an University of Posts and Telecommunications, Xi'an,710061, China
[8] Key Laboratory of Computer Integrated Manufacturing System, Guangdong University of Technology, Guangzhou,510006, China
来源：
Applied Energy | 2022年 / 326卷
关键词：
All Open Access; Hybrid Gold;
D O I：
暂无
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学科分类号：
摘要：
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