International Journal of Industrial Engineering and Management

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Vol. 12 No. 2 (2021)
Original Research Article

Digital Twin Testbed and Practical Applications in Production Logistics With Real-Time Location Data

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  • Jannicke Baalsrud Hauge,
  • Masoud Zafarzadeh,
  • Yongkuk Jeong,
  • Yi Li,
  • Wajid Ali Khilji,
  • Christian Larsen,
  • Magnus Wiktorsson
Jannicke Baalsrud Hauge KTH Royal Institute of Technology image/svg+xml

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Masoud Zafarzadeh KTH Royal Institute of Technology image/svg+xml

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Yongkuk Jeong KTH Royal Institute of Technology image/svg+xml

Bio
Yi Li Fraunhofer-Chalmers Centre for Industrial Mathematics

Bio
Wajid Ali Khilji KTH Royal Institute of Technology image/svg+xml

Bio
Christian Larsen Fraunhofer-Chalmers Centre for Industrial Mathematics

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Magnus Wiktorsson KTH Royal Institute of Technology image/svg+xml

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Published 2021-06-30

Keywords

  • Automated guided vehicle,
  • Digital twin,
  • Production logistics,
  • Simulation,
  • Real-time location

Copyright (c) 2023 International Journal of Industrial Engineering and Management

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This work is licensed under a Creative Commons Attribution 4.0 International License.

Abstract

Nowadays, digital twins exist everywhere in various fields. However, an analysis of existing applications in manufacturing and logistics revealed that many entirely apply the concept. To identify when a complete implementation of the concept is beneficial, we analyse the need and the implications within production logistics. This study also presents an architecture supporting integrating a digital twin into production logistics and a corresponding application scenario. Based on this, we have derived practical applications. Each application is applied to different situations, and actual benefits can overcome the limitations of the previous studies.

 

Article history: Received (January 16, 2021); Revised (May 13, 2021); Accepted (May 14, 2021); Published online (May 26, 2021)  

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