@article{(Open Science Index):https://publications.waset.org/pdf/9221, title = {Defect Cause Modeling with Decision Tree and Regression Analysis}, author = {B. Bakır and İ. Batmaz and F. A. Güntürkün and İ. A. İpekçi and G. Köksal and N. E. Özdemirel}, country = {}, institution = {}, abstract = {The main aim of this study is to identify the most influential variables that cause defects on the items produced by a casting company located in Turkey. To this end, one of the items produced by the company with high defective percentage rates is selected. Two approaches-the regression analysis and decision treesare used to model the relationship between process parameters and defect types. Although logistic regression models failed, decision tree model gives meaningful results. Based on these results, it can be claimed that the decision tree approach is a promising technique for determining the most important process variables.}, journal = {International Journal of Industrial and Manufacturing Engineering}, volume = {2}, number = {12}, year = {2008}, pages = {1334 - 1337}, ee = {https://publications.waset.org/pdf/9221}, url = {https://publications.waset.org/vol/24}, bibsource = {https://publications.waset.org/}, issn = {eISSN: 1307-6892}, publisher = {World Academy of Science, Engineering and Technology}, index = {Open Science Index 24, 2008}, }