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Digital twin design for real-time monitoring – a case study of die cutting machine

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  • Kung-Jeng Wang
  • Ying-Hao Lee
  • Septianda Angelica

Abstract

Digital twin (DT) is a core technology that enables the integration among physical machines, tools, material handling and warehousing, and real-time manufacturing decisions. In this study, a DT framework is proposed for the real-time monitoring of conventional machines to connect isolated machines to an interconnected system and monitor machine conditions in real-time. We implement a DT for a die cutting machine. A dashboard-based mission centre is created to display the real-time condition of the machine. The mission centre is composed of three main functions: real-time machine monitoring, overall equipment effectiveness, and order scheduling. Compared with existing approaches with a barrier of high investment and/or high design complexity, this study proposes an economic DT framework composed of conventional machine structure but has a tolerable level of industrial Internet of things capability.

Suggested Citation

  • Kung-Jeng Wang & Ying-Hao Lee & Septianda Angelica, 2021. "Digital twin design for real-time monitoring – a case study of die cutting machine," International Journal of Production Research, Taylor & Francis Journals, vol. 59(21), pages 6471-6485, November.
    • Handle: RePEc:taf:tprsxx:v:59:y:2021:i:21:p:6471-6485
    DOI: 10.1080/00207543.2020.1817999
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    Cited by:

    1. Pin Wu & Lulu Ji & Wenyan Yuan & Zhitao Liu & Tiantian Tang, 2023. "A Digital Twin Framework Embedded with POD and Neural Network for Flow Field Monitoring of Push-Plate Kiln," Future Internet, MDPI, vol. 15(2), pages 1-20, January.
    2. Thierry Moyaux & Yinling Liu & Guillaume Bouleux & Vincent Cheutet, 2023. "An Agent-Based Architecture of the Digital Twin for an Emergency Department," Sustainability, MDPI, vol. 15(4), pages 1-13, February.

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