Rethinking Simulation Modelling Methodology for Digital Twin Applications
Stephan Onggo
University of Southhampton
The number of reported works in Digital Twin has significantly increased in recent years. A fundamental component of a digital twin is the virtual representation of a physical object, system, or process that researchers wish to study or manage. One of the most commonly utilized representations is a simulation model. Traditionally, simulation modelling methodology has been primarily employed for planning purposes. However, the introduction of digital twin technology has shifted this paradigm, necessitating the use of simulation for operational management and control. In this presentation, we will reflect on simulation modelling methodology across various stages, including conceptual modelling, simulation model development, validation, and experimentation. We will explore whether adjustments are required for digital twin applications and what type of modifications might be necessary.
Speaker bio: Stephan Onggo is a Professor of Business Analytics at the University of Southampton. He is a member of the Centre for Operational Research Management Sciences and Information Systems (CORMSIS). His research interests include simulation modelling methodology and its applications in the management of disaster, supply chain and health care. He serves as an Associate Editor for the Journal of Simulation, Area Editor (Simulation) for the Flexible Services and Manufacturing Journal.