Title :
The application of data mining in erw weld pipe scheduling based on decision tree
Author :
Dong, Shaohua ; Li, Xiaona
Author_Institution :
Sch. of Mech. Eng., Univ. of Sci. & Technol. Beijing, Beijing, China
Abstract :
As the development of enterprise information, the common problem turns out, that is how to get valuable information from huge database. In this paper it is confirmed that it is feasible and scientific to apply data mining into ERW weld pipe scheduling. The research result will not only provide decision support to ERW weld pipe production management but also supply a new method to optimize production scheduling.
Keywords :
data mining; decision support systems; decision trees; production engineering computing; scheduling; welding; ERW weld pipe production management; ERW weld pipe scheduling; data mining; decision support; decision tree; enterprise information; production scheduling optimization; Data mining; Decision trees; Economics; Educational institutions; Lot sizing; Mechanical engineering; Welding; Data Mining; Decision Tree; ERW Weld Pipe; Production Plannin;
Conference_Titel :
Artificial Intelligence, Management Science and Electronic Commerce (AIMSEC), 2011 2nd International Conference on
Conference_Location :
Deng Leng
Print_ISBN :
978-1-4577-0535-9
DOI :
10.1109/AIMSEC.2011.6010111
