A unified digital twin framework for real-time monitoring and evaluation of smart manufacturing systems

Yassine Qamsane, Chien Ying Chen, Efe C. Balta, Bin Chou Kao, Sibin Mohan, James Moyne, Dawn Tilbury, Kira Barton

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Digital Twin (DT) is one of the key enabling technologies for realizing the promise of Smart Manufacturing (SM) and Industry 4.0 to improve production systems operation. Driven by the generation and analysis of high volume data coming from interconnected cyber and physical spaces, DTs are real-time digital images of physical systems, processes or products that help evaluate and improve business performance. This paper proposes a novel DT architecture for the real-time monitoring and evaluation of large-scale SM systems. An application to a manufacturing flow-shop is presented to illustrate the usefulness of the proposed methodology.

Original languageEnglish (US)
Title of host publication2019 IEEE 15th International Conference on Automation Science and Engineering, CASE 2019
PublisherIEEE Computer Society
Pages1394-1401
Number of pages8
ISBN (Electronic)9781728103556
DOIs
StatePublished - Aug 2019
Event15th IEEE International Conference on Automation Science and Engineering, CASE 2019 - Vancouver, Canada
Duration: Aug 22 2019Aug 26 2019

Publication series

NameIEEE International Conference on Automation Science and Engineering
Volume2019-August
ISSN (Print)2161-8070
ISSN (Electronic)2161-8089

Conference

Conference15th IEEE International Conference on Automation Science and Engineering, CASE 2019
CountryCanada
CityVancouver
Period8/22/198/26/19

ASJC Scopus subject areas

  • Control and Systems Engineering
  • Electrical and Electronic Engineering

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  • Cite this

    Qamsane, Y., Chen, C. Y., Balta, E. C., Kao, B. C., Mohan, S., Moyne, J., Tilbury, D., & Barton, K. (2019). A unified digital twin framework for real-time monitoring and evaluation of smart manufacturing systems. In 2019 IEEE 15th International Conference on Automation Science and Engineering, CASE 2019 (pp. 1394-1401). [8843269] (IEEE International Conference on Automation Science and Engineering; Vol. 2019-August). IEEE Computer Society. https://doi.org/10.1109/COASE.2019.8843269