Large Language Model-Enabled Multi-Agent Manufacturing Systems
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.
Code (0)
등록된 구현이 없습니다.
Tasks
Decision MakingLanguage ModelingLanguage ModellingLarge Language ModelmodelMethods 이 논문이 사용한 방법론
Similar Papers 제목 키워드 기반
A Large Language Model-Enabled Control Architecture for Dynamic Resource Capability Exploration in Multi-Agent Manufacturing Systems
Manufacturing environments are becoming more complex and unpredictable due to factors such as demand variations and shorter product lifespans. This complexity requires real-time decision-making and adaptation to disrupti…
Decision MakingLanguage ModelingLanguage ModellingLarge Language ModelAgentic Additive Manufacturing Alloy Evaluation
Agentic systems enable the intelligent use of research tooling, augmenting a researcher's ability to investigate and propose novel solutions to existing problems. Within Additive Manufacturing (AM), alloy selection and e…
Enabling Regulatory Multi-Agent Collaboration: Architecture, Challenges, and Solutions
Large language models (LLMs)-empowered autonomous agents are transforming both digital and physical environments by enabling adaptive, multi-agent collaboration. While these agents offer significant opportunities across …
Intelligent OPC Engineer Assistant for Semiconductor Manufacturing
Advancements in chip design and manufacturing have enabled the processing of complex tasks such as deep learning and natural language processing, paving the way for the development of artificial general intelligence (AGI…
A Large Language Model-based multi-agent manufacturing system for intelligent shopfloor
As productivity advances, the demand of customers for multi-variety and small-batch production is increasing, thereby putting forward higher requirements for manufacturing systems. When production tasks frequent changes …
Language ModelingLanguage ModellingLarge Language ModelScheduling