The Use of Simulation with Machine Learning and Optimization for a Digital Twin-A Case on Formula 1 DSS

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Abstract

The implementation of a digital twin presents a challenging environment for simulation. One challenge is the need for fast execution speed to maintain synchronization with the real system. When providing predictive outcomes, the complementary use of simulation with machine learning and optimization software may be employed to achieve this aim. The article investigates the use of simulation, machine learning and optimization in terms of providing a digital twin capability. The article presents a case on Formula 1 or F1 competition, where a decision support system (DSS) framework is presented to explore a digital twin capability.
Original languageEnglish
Number of pages12
Journal2022 Winter Simulation Conference (WSC)
DOIs
Publication statusPublished - 11 Dec 2022
Event2022 Winter Simulation Conference - Online, Singapore
Duration: 11 Dec 202214 Dec 2022
https://meetings.informs.org/wordpress/wsc2022/

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