Hybrid models with real-time data: Characterising real-time simulation and digital twins
Mustafee, N; Harper, A; Viana, J
Date: 27 March 2023
Conference paper
Publisher
Operational Research Society
Publisher DOI
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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 ...
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.
Health and Community Sciences
Faculty of Health and Life Sciences
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