Chat with MES: LLM-driven user interface for manipulating garment manufacturing system through natural language
Published in Journal of Manufacturing Systems, 2025
This study introduces Chat with MES (CWM), a conversational interface that replaces traditional manufacturing execution system (MES) graphical user interfaces with natural language interaction. By enabling operators to issue linguistic commands, CWM redefines human–computer interaction in industrial environments. To improve reliability, a multi-step Dynamic Operations Planning and Execution mechanism is proposed, decomposing complex tasks into controllable atomic operations. The framework is evaluated using a newly developed benchmark consisting of 55 crafted requests within a simulated garment manufacturing system. Experimental results show that CWM achieves an 80% task success rate, substantially outperforming GPT-4, which attains a 60% success rate under the same conditions.
Recommended citation: Zhaolin Yuan, Ming Li, Chang Liu, Fangyuan Han, Haolun Huang, Hong-Ning Dai, "Chat with MES: LLM-driven user interface for manipulating garment manufacturing system through natural language." Journal of Manufacturing Systems, 2025.
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