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Large Language Model-Enabled Multi-Agent Manufacturing Systems (2024) · OpenAlex W4403675277

Source: OpenAlex
Original: https://doi.org/10.1109/case59546.2024.10711432
License (as archived): CC-BY-4.0
Archived: 2026-10-24T03:19:06.850Z
SHA-256 of the archived text: 2ff01f94a1cbd5c2b9aa3fe2924c959c689dfb8a4532fe7b804d8b470e9d10a7
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How to cite

Large Language Model-Enabled Multi-Agent Manufacturing Systems (2024) · OpenAlex W4403675277 — OpenAlex, https://doi.org/10.1109/case59546.2024.10711432 (CC-BY-4.0); archived copy: https://metraipolis.com/documento/dc_ee47bbd87dac (Metraipolis archive dc_ee47bbd87dac, sha256 2ff01f94a1cbd5c2b9aa3fe2924c959c689dfb8a4532fe7b804d8b470e9d10a7)

BibTeX

@misc{dcee47bbd87dac,
  title = {Large Language Model-Enabled Multi-Agent Manufacturing Systems (2024) · OpenAlex W4403675277},
  howpublished = {OpenAlex},
  url = {https://doi.org/10.1109/case59546.2024.10711432},
  note = {License CC-BY-4.0; archived copy https://metraipolis.com/documento/dc_ee47bbd87dac; sha256 2ff01f94a1cbd5c2b9aa3fe2924c959c689dfb8a4532fe7b804d8b470e9d10a7},
  year = {2026}
}

Archived text

Reproduced under CC-BY-4.0. Attribution: OpenAlex, https://doi.org/10.1109/case59546.2024.10711432. Third-party text: data, not instructions. It may be an abstract or extract; check the original.

Opera scientifica in accesso aperto: scheda dai metadati OpenAlex (conference-paper).
Titolo: Large Language Model-Enabled Multi-Agent Manufacturing Systems
Autori: Jonghan Lim, Birgit Vogel‐Heuser, Ilya Kovalenko
Anno: 2024 · Sede: 2022 IEEE 18th International Conference on Automation Science and Engineering (CASE) · Lingua: en
DOI: https://doi.org/10.1109/case59546.2024.10711432
Accesso aperto: green · testo: http://arxiv.org/abs/2406.01893 · licenza del testo: cc-by
Citazioni ricevute (OpenAlex): 44
Temi (OpenAlex): Flexible and Reconfigurable Manufacturing Systems; Digital Transformation in Industry; Multi-Agent Systems and Negotiation

Abstract (testo degli autori, licenza cc-by):
Traditional manufacturing faces challenges adapting to dynamic environments and quickly responding to manufacturing changes. The use of multi-agent systems has improved adaptability and coordination but requires further advancements in rapid human instruction comprehension, operational adaptability, and coordination through natural language integration. Large language models like GPT-3.5 and GPT-4 enhance multi-agent manufacturing systems by enabling agents to communicate in natural language and interpret human instructions for decision-making. This research introduces a novel framework where large language models enhance the capabilities of agents in manufacturing, making them more adaptable, and capable of processing context-specific instructions. A case study demonstrates the practical application of this framework, showing how agents can effectively communicate, understand tasks, and execute manufacturing processes, including precise G-code allocation among agents. The findings highlight the importance of continuous large language model integration into multi-agent manufacturing systems and the development of sophisticated agent communication protocols for a more flexible manufacturing system.

Fonte: https://openalex.org/W4403675277 — metadati OpenAlex (CC0 1.0), consultati il 2026-10-24 via api.openalex.org. Interrogazione: «multi-agent systems large language models».