Guest Editorial: Engineering and Operating Digital Twins for Automated Production or Construction Systems

Birgit Vogel-Heuser, Min-Hsiung Hung, Manuel Wimmer, Ilya Kovalenko, Xun Xu

Research output: Contribution to journalEditorial

Abstract

With the emergence of Industry 4.0/5.0, the notion of digital twins has been promoted for improving the engineering and operation phases of automated production and construction systems. Standardization efforts such as the Asset Administration Shell (AAS) aim to provide dedicated formats, protocols, and technologies for engineering and operating digital twins. Such efforts cover model representations of the design as well as runtime data for reflecting the operation of systems. However, many open questions remain regarding the efficient and effective engineering and operation of digital twins. Currently, the realization of digital twins is associated with cost-intensive processes, repetitive work, and proprietary technologies. To improve the current situation, dedicated concepts, techniques, and methods for engineering and operating digital twins are needed. Moreover, dedicated support to manage the different life-cycle phases of digital twins in alignment with the life-cycle phases of the actual systems is required to realize the true benefits of digital twins. This Special Issue on Engineering and Operating Digital Twins for Automated Production or Construction Systems of IEEE Transactions on Automation Science and Engineering is focused on emerging approaches for enabling digital twin-based automation. As the final outcome of a thorough peer-review process, three papers were selected for this Special Issue. We hope that these papers will stimulate future research on engineering and operating digital twins.
Original languageEnglish
Article numberVolume 22
Pages (from-to)11288-11290
JournalIEEE Transactions on Automation Science and Engineering
Volume22
Early online date01 Apr 2025
DOIs
Publication statusPublished - 08 Apr 2025

Fields of science

  • 102022 Software development
  • 502050 Business informatics
  • 102040 Quantum computing 
  • 509026 Digitalisation research
  • 102034 Cyber-physical systems
  • 502032 Quality management
  • 102020 Medical informatics
  • 102006 Computer supported cooperative work (CSCW)
  • 102027 Web engineering
  • 102016 IT security
  • 503015 Subject didactics of technical sciences
  • 102015 Information systems

JKU Focus areas

  • Digital Transformation

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