Title :
A machine learning based approach to manufacturing process planning
Author :
Horváth, László ; Rudas, Imre J.
Author_Institution :
Banki Donat Polytech., Budapest, Hungary
fDate :
6/15/1905 12:00:00 AM
Abstract :
This paper presents a new approach to introducing machine learning techniques to solve a few problems encountered in the recent CAPP systems when they applied in company practice. It shows a process planning methodology which enables application of practically applicable learning algorithms. The authors suggest four levels of learning corresponding to the four levels of process planning knowledge defined.
Keywords :
computer aided production planning; learning (artificial intelligence); process computer control; production control; AI; CAPP; algorithms; application; machine learning; manufacturing process planning; production control; CADCAM; Computer aided manufacturing; Design automation; Knowledge representation; Machine learning; Machine learning algorithms; Manufacturing processes; Personnel; Problem-solving; Process planning;
Conference_Titel :
Industrial Electronics, 1993. Conference Proceedings, ISIE'93 - Budapest., IEEE International Symposium on
Conference_Location :
Budapest, Hungary
Print_ISBN :
0-7803-1227-9
DOI :
10.1109/ISIE.1993.268767