DocumentCode :
472443
Title :
Study on the Application of SVM in Supplier Primary Election
Author :
Cai, Lili ; Song, Fugeng ; Yuan, Deling
Author_Institution :
Donghua Univ., Shanghai
fYear :
2008
fDate :
23-24 Jan. 2008
Firstpage :
213
Lastpage :
216
Abstract :
Supplier selection is one of the most important things in supply chain management, the process of choosing a suitable supplier will effect enterprise´s production and quality directly. This article puts forward a two-stage model of supplier selection based on analysis the problem of supplier management. It plots out the process as primary election stage and well-chosen stage, and builds up seven criteria to evaluate suppliers in primary election phase. Then, this context uses support vector machine to select suppliers and pays attention to two kinds of error - treat candidate supplier as non-candidate supplier and treat non-candidate supplier as candidate supplier. At last, a numerical simulation is used to explain selection of kernel function and sample training; the result reveals that this new method is practical and realistic and could reduce selection time.
Keywords :
purchasing; supply chain management; support vector machines; enterprise production; enterprise quality; kernel function; numerical simulation; purchase management; sample training; supplier primary election; supply chain management; support vector machine; Costs; Data envelopment analysis; Mathematical model; Mathematical programming; Nominations and elections; Quality management; Raw materials; Supply chain management; Supply chains; Support vector machines;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Knowledge Discovery and Data Mining, 2008. WKDD 2008. First International Workshop on
Conference_Location :
Adelaide, SA
Print_ISBN :
978-0-7695-3090-1
Type :
conf
DOI :
10.1109/WKDD.2008.45
Filename :
4470380
Link To Document :
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