Extending Simulation Modeling Methodology for Digital Twin Applications

The number of reported works in Digital Twin (DT) has significantly increased in recent years. A fundamental component of a DT is the digital representation of a real object, process, or system that decision makers wish to evaluate or manage. One of the most utilized digital representations is a simulation model. Traditionally, simulation has been primarily employed for offline applications. However, the introduction of DT technology has enabled an effective online connection between a simulation model and its real counterpart, allowing the use of simulation as part of dynamic control systems for real-time decision making. This paper discusses whether steps in simulation modeling methodology such as conceptual modeling, input modeling, model development, validation, and output analysis, need adjusting for DT applications.

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Publication Details

Published
2024-12-15
DOI
https://doi.org/10.1109/wsc63780.2024.10838633
Citations
3
Primary Topic
Digital Transformation in Industry
Type
article
Field-Weighted Citation Impact
1.05
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article

Extending Simulation Modeling Methodology for Digital Twin Applications

Bhakti Stephan Onggo, Christine Currie
3 citations
Digital Transformation in Industry
1.05
article

Extending Simulation Modeling Methodology for Digital Twin Applications

Bhakti Stephan Onggo, Christine Currie
article en
3 citations

Abstract

The number of reported works in Digital Twin (DT) has significantly increased in recent years. A fundamental component of a DT is the digital representation of a real object, process, or system that decision makers wish to evaluate or manage. One of the most utilized digital representations is a simulation model. Traditionally, simulation has been primarily employed for offline applications. However, the introduction of DT technology has enabled an effective online connection between a simulation model and its real counterpart, allowing the use of simulation as part of dynamic control systems for real-time decision making. This paper discusses whether steps in simulation modeling methodology such as conceptual modeling, input modeling, model development, validation, and output analysis, need adjusting for DT applications.

University of Southampton (GB)
Openalex Percentile: Top 19%
Digital Transformation in Industry
1.05
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