JSAI2024

Presentation information

Organized Session

Organized Session » OS-15

[1K4-OS-15a] OS-15

Tue. May 28, 2024 3:00 PM - 4:40 PM Room K (Room 44)

オーガナイザ:鷲尾 隆(大阪大学)、西山 直樹、吉岡 琢(株式会社Laboro.AI)、小松崎 民樹(北海道大学)、山崎 啓介(産業技術総合研究所)、窪澤 駿平(日本電気株式会社)

3:20 PM - 3:40 PM

[1K4-OS-15a-02] Automated Simulation Generation by Large Language Models

〇Yu Kiyokawa1,2, Yuto Komori1 (1. BitQuark CO.,Ltd., 2. National Institute of Advanced Industrial Science and Technology)

Keywords:simulation, Large Language Model

This study introduces a new approach for automatically generating process simulations for production lines, specifically tailored to the manufacturing industry. It leverages Large Language Models (LLMs) to convert natural language inputs into a format suitable for process simulation, presenting a method and evaluation for generating efficient simulation models. The focus of this research is particularly on discrete simulation, emphasizing production line modeling in the manufacturing sector. Traditionally, a major challenge for manufacturers modeling their own factories has been the construction of simulation model structures. However,with the LLM-based approach proposed in this study, users can intuitively and efficiently build simulation models. This novel method is expected to simplify the design and execution of simulations, contributing to increased production efficiency and process optimization in the manufacturing industry.

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