TY - GEN
T1 - Decision Tree-Based Resource Recommendation System for Aerospace Manufacturing
AU - Qin, Linhao
AU - Luo, Yiran
AU - Ming, Zhenjun
AU - Zhang, Hongpeng
AU - Lu, Hu
AU - Chen, Wei
AU - Chen, Baoguo
AU - Liu, Xianying
AU - Wang, Houmin
AU - Lyu, Ruiqiang
N1 - Publisher Copyright:
© 2024 IEEE.
PY - 2024
Y1 - 2024
N2 - 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.
AB - 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.
KW - aerospace manufacturing resources
KW - decision tree
KW - recommendation system introduction
UR - https://www.scopus.com/pages/publications/85207049639
U2 - 10.1109/CISAT62382.2024.10695264
DO - 10.1109/CISAT62382.2024.10695264
M3 - Conference contribution
AN - SCOPUS:85207049639
T3 - 2024 7th International Conference on Computer Information Science and Application Technology, CISAT 2024
SP - 809
EP - 813
BT - 2024 7th International Conference on Computer Information Science and Application Technology, CISAT 2024
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 7th International Conference on Computer Information Science and Application Technology, CISAT 2024
Y2 - 12 July 2024 through 14 July 2024
ER -