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 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.