Decision Tree-Based Resource Recommendation System for Aerospace Manufacturing

This paper presents a decision tree-based resource recommendation system for aerospace manufacturing. During the resource selection stage of the aerospace manufacturing process design, the recommendation system first acquires the parts and their current features. The decision tree model is then used...

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Bibliographic Details
Published in2024 7th International Conference on Computer Information Science and Application Technology (CISAT) pp. 809 - 813
Main Authors Qin, Linhao, Luo, Yiran, Ming, Zhenjun, Zhang, Hongpeng, Lu, Hu, Chen, Wei, Chen, Baoguo, Liu, Xianying, Wang, Houmin, Lyu, Ruiqiang
Format Conference Proceeding
LanguageEnglish
Published IEEE 12.07.2024
Subjects
Accuracy
aerospace manufacturing resources
decision tree
Decision trees
Information filters
Machining
Manufacturing
Manufacturing processes
Personnel
Process design
recommendation system introduction
Recommender systems
Training
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Summary:This paper presents a decision tree-based resource recommendation system for aerospace manufacturing. During the resource selection stage of the aerospace manufacturing process design, the recommendation system first acquires the parts and their current features. The decision tree model is then used to determine the type of equipment required for these features, forming an initial set of equipment. Subsequently, the process rule base screens this set, matching the equipment that meets the requirements of the parts and the current process, forming a set of equipment to be recommended. Finally, the suitable equipment is recommended to the process personnel. By constructing and training the decision tree model, the system achieves rapid and accurate manufacturing resource recommendations, thereby enhancing the efficiency of process design for aerospace parts.
DOI:10.1109/CISAT62382.2024.10695264