Location
Hilton Waikoloa Village, Hawaii
Event Website
https://hicss.hawaii.edu/
Start Date
7-1-2025 12:00 AM
End Date
10-1-2025 12:00 AM
Description
This paper evaluates a prototypical hierarchical digital twin (HDT) for industrial production environments, addressing the gap in practical evaluations of digital twin concepts. The HDT integrates data from various production levels, offering a comprehensive virtual representation of the physical production environment. A qualitative interview study was conducted with 14 practitioners from different industrial sectors to assess the HDT's utility and gather feedback. The study identified key data classes, performance indicators, and functions necessary for effective HDT implementation. Results indicate that the HDT provides significant benefits in monitoring, simulation, and control of production processes, aligning with scientific perspectives while highlighting practical enhancements. This evaluation informs future HDT development and implementation strategies in industrial settings.
Recommended Citation
Marahrens, Tamino; Finke, Christian; Groth, Michael; and Schumann, Matthias, "Industrial Insights: Evaluating a Hierarchical Digital Twin in an Industrial Production Setting" (2025). Hawaii International Conference on System Sciences 2025 (HICSS-58). 6.
https://aisel.aisnet.org/hicss-58/da/digital_twins/6
Industrial Insights: Evaluating a Hierarchical Digital Twin in an Industrial Production Setting
Hilton Waikoloa Village, Hawaii
This paper evaluates a prototypical hierarchical digital twin (HDT) for industrial production environments, addressing the gap in practical evaluations of digital twin concepts. The HDT integrates data from various production levels, offering a comprehensive virtual representation of the physical production environment. A qualitative interview study was conducted with 14 practitioners from different industrial sectors to assess the HDT's utility and gather feedback. The study identified key data classes, performance indicators, and functions necessary for effective HDT implementation. Results indicate that the HDT provides significant benefits in monitoring, simulation, and control of production processes, aligning with scientific perspectives while highlighting practical enhancements. This evaluation informs future HDT development and implementation strategies in industrial settings.
https://aisel.aisnet.org/hicss-58/da/digital_twins/6