20.500.12556/DKUM-96728 Using large language models (LLMs) to support simulation-based optimization in supply chain management The emergence of Artificial Intelligence (AI) in Supply Chain Management (SCM) heralds a transformative shift, breaking traditional barriers and unlocking new opportunities for optimization and efficiency. This study explores the impact of artificial intelligence, particularly large language models (LLMs), on simulation-based optimization applications in supply chain management. The novelty of LLMs lies in their ability to enhance both the technical and practical aspects of simulation-based optimization. On the technical side, LLMs can assist in constructing and fine-tuning optimization models by analyzing historical data, identifying patterns, and generating recommendations for optimal strategies. On the practical side, these models have the potential to simplify complex methodologies, making them more comprehensible and actionable for practitioners without extensive expertise in AI or advanced analytics. The article presents practical implications of LLMs in the form of a ChatGPT-based application, in which users express their supply chain challenges in natural language, and the model responds with tailored optimization strategies or simulation scenarios. The presented examples demonstrate how LLMs can automatically generate simulation models and support optimization processes in typical supply chain management scenarios. These results are preliminary and highlight both the potential of this approach and its current limitations, including occasional inaccuracies in the generated code. supply chain management simulation-based optimization artificial intelligence large language models LLMs generative AI conversational AI ChatGPT AI-driven decision-making upravljanje dobavne verige umetna inteligenca optimizacija veliki jezikovni modeli generativna umetna inteligenca odločanje na podlagi umetne inteligence true false true Chair of Production Engineering (CPE), University of Maribor Faculty of Mechanical Engineering Angleški jezik Slovenski jezik https://apem-journal.org/ Članek v reviji 2026-01-26 14:05:17 2026-01-26 14:05:17 2026-01-27 03:23:18 0000-00-00 00:00:00 2025 0 0 str. 491-506 no. 4 Vol. 20 Dec. 2025 0000-00-00 Zaloznikova Objavljeno NiDoloceno 2025-07-03 2025-12-15 2025-12-31 004.8 266140419 10.14743/apem2025.4.554 1854-6250 APEM20-4_491-506.pdf APEM20-4_491-506.pdf 1 7F3E2FAFDAF67DF9478CD7D75323BCC3 2f226d3991c0f51a0d5d8c0ab6460343a002c837ae6f8717fd49f03b4b2b6a4a 96f37960-fab8-11f0-9b4e-00155d00018d https://dk.um.si/Dokument.php?lang=slv&id=202562 https://apem-journal.org/Archives/2025/APEM20-4_491-506.pdf 0 aaa12218-fab8-11f0-9b4e-00155d00018d https://dk.um.si/Dokument.php?lang=slv&id=202563 Fakulteta za strojništvo Advances in production engineering & management 0 0 0