Oliveira Júnior, Alexandre deCalvo-Rolle, José LuisPires, RuiLeitão, Paulo2026-02-272026-02-272025Oliveira Júnior, Alexandre de Calvo-Rolle, José Luis Pires, Rui Leitão, Paulo (2025). Industrial Metaverse Digital Twin: ISO 23247 Compliant Architecture for AI-Driven Simulation. In 8th International Conference on Industrial Cyber Physical Systems (ICPS). ISSN 2769-3902. p. 1-62769-3902http://hdl.handle.net/10198/35892The Industrial Metaverse marks a new stage in Industry 4.0, raising the representation level of Digital Twins (DT) from discrete elements to an interconnected network of assets covering the entire production ecosystem. This paradigm changing reflects advances in enabling technologies such as Artificial Intelligence (AI) and complex what-if simulations. As complexity increases, adopting established industrial standards for implementing DT functionalities becomes imperative to specify guidelines for companies and researchers. This paper proposes a functional architecture for DT implementation in compliance with ISO 23247 standard, aiming to support the development of interoperable and standardized solutions combined within the Industrial Metaverse. The architecture was employed to develop a DT framework for an automotive assembly line, covering the quality inspection process and embedding AI-based mechanisms to leverage the what-if simulation of deviations in structural parameters of the vehicle's body. Experimental results demonstrate the tool's ability to accurately predict outputs for critical quality parameters according to hypothetical measurement scenarios, leveraging the production stakeholders' understanding regarding the correlated impact of deviations at different structural points, and demonstrating the versatility and potential of combining AI strategies for what-if simulations.engIndustrial metaverseArtificial intelligenceWhat-if SimulationDigital twinISO 23247Zero defect manufacturingconference paper10.1109/icps65515.2025.11087908