{"id":11256,"date":"2025-04-22T05:32:02","date_gmt":"2025-04-22T09:32:02","guid":{"rendered":"https:\/\/blogs.sw.siemens.com\/tecnomatix\/?p=11256"},"modified":"2026-03-26T07:10:36","modified_gmt":"2026-03-26T11:10:36","slug":"ai-llms-siemens-plant-simulation","status":"publish","type":"post","link":"https:\/\/blogs.sw.siemens.com\/tecnomatix\/ai-llms-siemens-plant-simulation\/","title":{"rendered":"\ud83c\udf1f AI-Powered Simulation: Integrating LLMs with Plant Simulation for Next-Gen Models"},"content":{"rendered":"\n

Presented by Pierpaolo Veltri, PhD Student, Management and Industrial Engineer, University of Calabria, Italy<\/strong><\/p>\n\n\n\n

\ud83d\udcc5 Event:<\/strong> 2025 Plant Simulation User Conference<\/a>, Amsterdam, July 2nd 2025
\ud83c\udfa4 Track:<\/strong> Plant Simulation AI & Simulation Innovation<\/p>\n\n\n\n

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\ud83d\ude80 Unlocking New Possibilities in Digital Manufacturing<\/h3>\n\n\n\n

As digital manufacturing evolves, the need for faster, more intuitive, and accessible simulation tools has never been greater. This year at the 2025 Plant Simulation User Conference in Amsterdam, Pierpaolo Veltri<\/strong> will showcase a groundbreaking approach that blends the analytical power of Siemens Plant Simulation<\/a><\/strong> with the intelligence of Large Language Models (LLMs)<\/strong> \u2014 ushering in a new era of AI-powered simulation.<\/p>\n\n\n\n

\"Pierpaolo<\/figure>
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Pierpaolo Veltri is an accomplished Industrial and Management Engineer currently completing the final year of his PhD research at the Modeling & Simulation Center \u2013 Laboratory of Enterprise Solutions (MSC-LES) at the University of Calabria, with research completion taking place in Beijing, China. Specializing in Adaptive Digital Twin technologies<\/strong> within Siemens Plant Simulation<\/strong> environments, his work focuses on bridging theoretical modeling with practical industrial applications. With a strong academic foundation from his Master\u2019s degree in Management and Industrial Engineering, Pierpaolo has developed advanced simulation-based Digital Twin solutions<\/strong> for major corporations in the energy sector and manufacturing industry, enhancing production scheduling, manufacturing systems design, and product optimization through comprehensive What-If analysis and Industry 5.0 technologies. His doctoral research extends to the integration of Large Language Models (LLMs)<\/strong> for democratizing simulation access via natural-language interfaces. In parallel to his research and industrial collaborations, Pierpaolo actively contributes to the international simulation community as a member of the organizing committees for the prestigious I3M<\/strong> and ISM<\/strong> conferences, both focused on modeling, simulation, and Smart Manufacturing innovation.<\/p>\n<\/div><\/div>\n\n\n\n

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\ud83e\udde0 From Natural Language to Automatic Simulation Models Generation<\/strong><\/h3>\n\n\n\n
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AI powered automatic simulation model generation; Pierpaolo Veltri<\/figcaption><\/figure>\n\n\n\n

The presentation, titled \u201cAI-Powered Simulation: Integrating LLMs with Plant Simulation for Next-Gen Models,\u201d<\/strong> explores how generative AI technologies can revolutionize the way we interact with complex engineering tools. At the heart of this innovation is the Automatic Simulation Models Generation (ASMG)<\/strong> methodology, which allows users to communicate with simulation environments using natural, spoken language.<\/p>\n\n\n\n

No need for extensive modeling knowledge or complex scripting \u2014 users simply describe what they need, and the system:<\/p>\n\n\n\n