Association rule mining for aircraft assembly process information based on fine-tuned LLM

Today's article comes from the journal of Autonomous Intelligent Systems. The authors are Shen et al., from Tongji University, in China. In this paper, they introduce AFA-ChatGLM: a fine-tuned large language model built specifically for aircraft final assembly. It's designed to automatically extract essential information from process documentation, and to generate association rules that can be used to optimize production planning.

DOI: 10.1007/s43684-025-00111-2