HYBRID MODELS WITH REAL-TIME DATA: CHARACTERISING REAL-TIME SIMULATION AND DIGITAL TWINS

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Abstract

Real-time Simulation (RtS) and Digital Twins (DT) are terms generally associated with hybrid models that use real-time data to drive computational models. Additionally, in the case of DTs, real-time data is often used to create virtual replicas of the physical system as it progresses through real-time. There is an increasing volume of literature on RtS and DT; however, the field of OR/MS is yet to coalesce on accepted definitions and conceptualisations. This has arguably led to the cascading usage of these terms. The objective of the paper is threefold: (1) distinguish between RtS and DT, (2) present RtS-DT conceptualisation in four dimensions, and (3) present methodological and technical insights on developing RtS with limited data. We argue that the evolution of conventional simulation models to fully-fledged hybrid DTs may necessitate a focus on a transitional stage; namely, RtS models primarily driven using historical distributions with limited real-time data feeds.

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Mustafee, N., Harper, A., & Viana, J. (2023). HYBRID MODELS WITH REAL-TIME DATA: CHARACTERISING REAL-TIME SIMULATION AND DIGITAL TWINS. In 11th Simulation Workshop, SW 2023 (pp. 261–271). Operational Research Society. https://doi.org/10.36819/SW23.031

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