Title :
Study on CBR Supplier Selection System Based on Data Mining for Oil Enterprises
Author :
Zhao Kai ; Yu Xin ; Wang Dao-ping
Author_Institution :
Econ. & Manage. Sch., Univ. of Sci. & Technol. Beijing, Beijing, China
Abstract :
Petroleum is an important strategic material which is connected to the vitals and safety of the national economy. In this paper the particular characteristics of the supply chain of petroleum enterprises is summarized. The limitations of the methods of traditional supplier selection, and brought forward the project of construction of case based reasoning system (CBR) of supplier selection based on data mining are analyzed. The advantages, practicability and validity of this project via case study is demonstrated.
Keywords :
case-based reasoning; data mining; economics; petroleum industry; supply chain management; CBR supplier selection system; case based reasoning system; data mining; national economy; oil enterprises; petroleum enterprises; supplier selection; supply chain; Costs; Data mining; Engineering management; Environmental economics; Environmental management; Fuel economy; Materials science and technology; Petroleum; Safety; Technology management; case based reasoning system; data mining; supplier selection; supply chain of petroleum enterprises;
Conference_Titel :
Information Engineering and Electronic Commerce, 2009. IEEC '09. International Symposium on
Conference_Location :
Ternopil
Print_ISBN :
978-0-7695-3686-6
DOI :
10.1109/IEEC.2009.123
