Application of machinery manufacturing decision-making based on ID3 algorithm
LU Zhao1,CHEN Shi-ping1,2
1. School of Optical-Electrical and Computer Engineering, University of Shanghai for Science and Technology, Shanghai 200093, China 2. Network Center, University of Shanghai for Science and Technology, Shanghai 200093, China
Abstract：In order to improve the quality management and enhance the efficiency of decision-making in machinery manufacturing industry, this paper took the typical machinery enterprise’s business as an example and explored the data of management information by Cross-Industry Standard Process for Data Mining (CRISP-DM) standard process. By using the gain ratio calculation method based on ID3 decision tree algorithm, the study generated a decision tree model and made it an initial implementation in the company’s Enterprise Resources Planning (ERP) system. By test and analysis, the result shows that the model can standardize the business process and enhance the decision-making efficiency.
2011, Vol. 31 
