A Short Survey on Large Language Models' Application in Manufacturing Domain

Large Language Models (LLMs) are able to process and generate textual and structured data to support and optimize an extremely wide variety of applications in various domains. One of the domains where Artificial Intelligence (AI) and LLMs are constantly gaining interest is manufacturing. LLMs promote the transformation of traditional manufacturing processes, improve efficiency, and enable optimal data-driven decision-making. This short survey explores the diverse applications of LLMs in manufacturing, including key application areas such as enhanced decision-making, predictive maintenance, additive manufacturing, industrial robotics applications, etc. In addition, key aspects of LLMs' applications such as the models used, the training methods, the use of Retrieval-Augmented Generation (RAG) frameworks, etc. are extracted and discussed. By high-lighting LLM application areas in manufacturing and their key aspects, the study supports faster understanding and promotes future research and development from industry professionals, researchers, and policy makers on LLM application for the manufacturing domain.

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Published
2025-06-16
DOI
https://doi.org/10.1109/ice/itmc65658.2025.11106602
Primary Topic
Data Mining Algorithms and Applications
Type
article
Field-Weighted Citation Impact
0.00

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article

A Short Survey on Large Language Models' Application in Manufacturing Domain

Dimosthenis Ioannidis, Alexandros Nizamis, Thanasis Kotsiopoulos, Thanasis Vafeiadis et al.
Data Mining Algorithms and Applications
article

A Short Survey on Large Language Models' Application in Manufacturing Domain

Dimosthenis Ioannidis, Alexandros Nizamis, Thanasis Kotsiopoulos, Thanasis Vafeiadis, Dimitrios Tzovaras
article en

Abstract

Large Language Models (LLMs) are able to process and generate textual and structured data to support and optimize an extremely wide variety of applications in various domains. One of the domains where Artificial Intelligence (AI) and LLMs are constantly gaining interest is manufacturing. LLMs promote the transformation of traditional manufacturing processes, improve efficiency, and enable optimal data-driven decision-making. This short survey explores the diverse applications of LLMs in manufacturing, including key application areas such as enhanced decision-making, predictive maintenance, additive manufacturing, industrial robotics applications, etc. In addition, key aspects of LLMs' applications such as the models used, the training methods, the use of Retrieval-Augmented Generation (RAG) frameworks, etc. are extracted and discussed. By high-lighting LLM application areas in manufacturing and their key aspects, the study supports faster understanding and promotes future research and development from industry professionals, researchers, and policy makers on LLM application for the manufacturing domain.

National and Kapodistrian University of Athens (GR), Information Technologies Institute (GR), Centre for Research and Technology Hellas (GR)
European Commission
Openalex Percentile: Top 70%
Data Mining Algorithms and Applications
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A Short Survey on Large Language Models' Application in Manufacturing Domain — Dimosthenis Ioannidis, Alexandros Nizamis, et al. · (2025) | TGRS Research Map | TGRS