Evaluation model of supplier performance using data mining technique in manufacturing

• Main Authors: Hui-san Cheng, 鄭惠珊
• Other Authors: Ching-Hsue Cheng
• Format: Others
• Language: zh-TW
• Published: 2007
• Online Access: http://ndltd.ncl.edu.tw/handle/54827373181892123489

碩士 === 國立雲林科技大學 === 資訊管理系碩士班 === 95 === The study establishes a model of evaluating supplier performance, which consists of three main factors and ten indexes. It refers to related documents and SCOR Model (Supply Chain Operations Reference Model) which is recommended by a world organized supplier''s association. In verification, the study collects a practical dataset, which comes from KPI (Key Performance Indicators) of supplier management of A Company. Firstly, use K mean to partition the supplier''s performance objectively. Secondly, utilize the decision tree to extract rule of the supplier performance. After clustering class of supplier performance, the results show that the correct rate of the decision tree is 87.29%, which is higher than the listing methods. In addition, decision tree could product fewer rules for understanding to user.