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

fYear

2009

fDate

16-17 May 2009

Firstpage

555

Lastpage

559

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;

fLanguage

English

Publisher

ieee

Conference_Titel

Information Engineering and Electronic Commerce, 2009. IEEC '09. International Symposium on

Conference_Location

Ternopil

Print_ISBN

978-0-7695-3686-6

Type

conf

DOI

10.1109/IEEC.2009.123

Filename

5175180