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.
Authors
- Dimosthenis Ioannidis (ORCID: https://orcid.org/0000-0002-5747-2186)
- Alexandros Nizamis (ORCID: https://orcid.org/0000-0002-6954-4861)
- Thanasis Kotsiopoulos (ORCID: https://orcid.org/0000-0001-5178-3840)
- Thanasis Vafeiadis (ORCID: https://orcid.org/0000-0003-3682-7539)
- Dimitrios Tzovaras (ORCID: https://orcid.org/0000-0001-6915-6722)
Institutions
- National and Kapodistrian University of Athens (GR)
- Information Technologies Institute (GR)
- Centre for Research and Technology Hellas (GR)
Publication Details
- 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
Funders
- European Commission