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Infrastructure for Model Based Analytics for Manufacturing

Published

Author(s)

Sanjay Jain, Anantha Narayanan Narayanan, Yung-Tsun Lee

Abstract

Multi-resolution simulation models of manufacturing system, such as the virtual factory, coupled with analytics offer exciting opportunities to manufacturers to exploit the increasing availability of data from their corresponding real factory at different hierarchical levels. A virtual factory model can be maintained as a live representation of the real factory and used to highly accelerate the learning using analytics applications. These applications may range from machine level to manufacturing management level. While large corporations are already embarking on model based analytics initiatives, small and medium enterprises (SMEs) may find it challenging to set up a virtual factory model and analytics applications due to barriers of expertise and investments in hardware and software. This paper proposes a shared infrastructure for virtual factory model based analytics that can be employed by SMEs. A demonstration prototype of the proposed shared infrastructure is presented.
Proceedings Title
Proceedings of the 2019 Winter Simulation Conference
Conference Dates
December 8-11, 2019
Conference Location
National Harbor, MD, US
Conference Title
2019 Winter Simulation Conference

Keywords

simulation, virtual factory, model based, data analytics

Citation

Jain, S. , Narayanan, A. and Lee, Y. (2019), Infrastructure for Model Based Analytics for Manufacturing, Proceedings of the 2019 Winter Simulation Conference, National Harbor, MD, US, [online], https://tsapps.nist.gov/publication/get_pdf.cfm?pub_id=928157 (Accessed May 23, 2024)

Issues

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Created December 8, 2019, Updated October 12, 2021