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VIRTUAL FACTORY REVISITED FOR MANUFACTURING DATA ANALYTICS

Published

Author(s)

Sanjay Jain, Guodong Shao

Abstract

Development of a data analytics application for manufacturing is best when tested 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 the current technology and standards to help identify the developments needed for its implementation.
Proceedings Title
Proceedings of the 2014 Winter Simulation Conference
Conference Dates
December 7-10, 2014
Conference Location
Savannah, GA
Conference Title
2014 Winter Simulation Conference

Keywords

simulation, multi-resolution modeling, plug and play compatibility, data-driven, framework

Citation

Jain, S. and Shao, G. (2014), VIRTUAL FACTORY REVISITED FOR MANUFACTURING DATA ANALYTICS, Proceedings of the 2014 Winter Simulation Conference, Savannah, GA, [online], https://tsapps.nist.gov/publication/get_pdf.cfm?pub_id=916252 (Accessed May 21, 2024)

Issues

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Created December 11, 2014, Updated February 19, 2017