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Virtual Factory Based Data Analytics

Published

Author(s)

Sanjay Jain, Guodong Shao, Seungjun Shin

Abstract

The concept of a virtual factory representation and its use to support data analytics in multiple ways in manufacturing environment are proposed. The proposed virtual factory when implemented can facilitate improvements in manufacturing operations through data analytics.
Proceedings Title
IEEE International Conference on Control & Automation
Conference Dates
June 1-3, 2016
Conference Location
Kathmandu, NP

Keywords

System Modeling and Identification, Factory Modeling and Automation, Integrated Manufacturing

Citation

Jain, S. , Shao, G. and Shin, S. (2016), Virtual Factory Based Data Analytics, IEEE International Conference on Control & Automation, Kathmandu, NP (Accessed June 15, 2024)

Issues

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Created June 3, 2016, Updated October 12, 2021