Integrating large language models with industrial simulation for multi-level decision support: an innovation management perspective in Industry 5.0

Antonio Cimino, Francesco Longo, Vittorio Solina and Pierpaolo Veltri

European Journal of Innovation Management, 2025, vol. 29, issue 11, 27-53

Abstract: PurposeThis research addresses the accessibility challenge in industrial simulation by integrating Large Language Models (LLMs) with simulation tools to democratize decision-making processes across organizational hierarchies in Industry 5.0 environments.Design/methodology/approachThe study develops and implements an AI-driven interface that connects LLMs with industrial simulation models, enabling natural language interaction with complex simulation data. The methodology includes a comprehensive framework for data processing, query interpretation and result visualization. A real case study in the energy technology sector validates the approach through practical application in a manufacturing facility producing turbine components.FindingsThe integration successfully transformed simulation-based decision-making by enabling non-expert users to access and interpret complex simulation data through natural language queries. The case study demonstrated improved operational efficiency through better resource allocation and reduced decision-making bottlenecks. The system's validation confirmed the accurate interpretation of user queries and precise analysis of simulation data, supporting more inclusive and informed decision-making processes across organizational levels.Originality/valueThis research presents a comprehensive interface for integrating LLMs with industrial simulation models, introducing a novel approach to democratizing simulation-driven insights from an innovation management perspective. The study contributes to organizational theory by demonstrating how natural language interfaces can bridge the technical knowledge gap between simulation experts and decision-makers, transforming traditional decision processes and advancing the human-centric decision management vision of Industry 5.0.

Keywords: Simulation; LLMs; Industry 5.0; Generative AI; Data driven decision-making (search for similar items in EconPapers)
Date: 2025
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Persistent link: https://EconPapers.repec.org/RePEc:eme:ejimpp:ejim-10-2024-1246

DOI: 10.1108/EJIM-10-2024-1246

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