DocumentCode :
2152305
Title :
Research on Supplier Performance Evaluation Model Based on Data Mining
Author :
Wang, Jiabin ; Wang, Hechun
Author_Institution :
Sch. of Manage., Shenyang Normal Univ., Shenyang, China
fYear :
2010
fDate :
24-26 Aug. 2010
Firstpage :
1
Lastpage :
4
Abstract :
With the big and complete enterprise disintegrating gradually In the market competition of global economy integration, the relation among enterprises present the obvious network tendency day by day, supply chain management (SCM)obtain universal application in the Manufacturing enterprises, becomes one kind of new management pattern. Now enterprises come to realize that effective supply chain management, which would have to assess supply chain performance. However, scientific, objective and comprehensive analysis and evaluation of the supply chain operating performance is an urgent problem need to be addressed. Based on analyzing the present fact of domestic and international vendor performance evaluation, Based on the construction of index system for supply chain supplier ability evaluation and analysis, a new method is presented in this paper which apply the principal component analysis and fisher method. It may overcome the existing methods shortcomings and contribute to the supplier selection, the analysis result might be taken as one of main reference for outsourcing decision making. Finally, the model is approved by a case provided which is practical and effective. The result shows that the model could reflect the gener capabilities of the supplier objectively and fairly and achieve an effective evaluation on supplier performance.
Keywords :
data mining; performance evaluation; principal component analysis; supply chain management; data mining; domestic vendor performance evaluation; fisher method; international vendor performance evaluation; principal component analysis; supplier performance evaluation model; supply chain management; Appraisal; Indexes; Manufacturing; Performance evaluation; Supply chain management; Supply chains; Synthetic aperture sonar;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Management and Service Science (MASS), 2010 International Conference on
Conference_Location :
Wuhan
Print_ISBN :
978-1-4244-5325-2
Electronic_ISBN :
978-1-4244-5326-9
Type :
conf
DOI :
10.1109/ICMSS.2010.5576348
Filename :
5576348
Link To Document :
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