VIRTUAL FACTORY REVISITED FOR MANUFACTURING DATA ANALYTICS

被引：0
|
作者：
Jain, Sanjay [1 ]
Shao, Guodong [2 ]
机构：
[1] George Washington Univ, 2201 G St NW Funger Hall,Suite 415, Washington, DC 20052 USA
[2] NIST, Syst Integrat Div Engn Lab, Gaithersburg, MD 20899 USA
来源：
PROCEEDINGS OF THE 2014 WINTER SIMULATION CONFERENCE (WSC) | 2014年
关键词：
D O I：
暂无
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
Development of an effective data analytics application for manufacturing requires testing with large sets of data. It is usually difficult for application developers to find access to real manufacturing data streams for testing new data analytics applications. Virtual factories can be developed to generate the data for selected measures in formats matching those of real factories. The vision of a virtual factory has been around for more than a couple decades. Advances in technologies for computation, communication, and integration and in associated standards have made the vision of a virtual factory within reach now. This paper discusses requirements for a virtual factory to meet the needs of manufacturing data analytics applications. A framework for the virtual factory is proposed that leverages current technology and standards to help identify the developments needed for the realization of virtual factories.
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收藏
页码：887 / 898
页数：12
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