DocumentCode :
1830529
Title :
Evaluation model based on support vector machine for green coal supplier in electric power supply chain
Author :
Wang, Qiang ; Lai, Kin Keung ; Niu, Dongxiao
Author_Institution :
Sch. of Bus. & Manage., North China Electr. Power Univ., Beijing, China
Volume :
4
fYear :
2011
fDate :
13-15 May 2011
Firstpage :
923
Lastpage :
927
Abstract :
The green supplier evaluation is of great importance for the green supply chain management. Unlike other industries, the thermal power supply chain has its own characteristic, therefore the green coal suppler evaluation models should differ from those of other industry. In this paper, an evaluation index system for green coal suppler is established according to the characteristic of the thermal power supply chain. Then, the principle component analysis (PCA) is used to create the main evaluation indexes and support vector machine (SVM) is adopted for the evaluation model. The practical examples show that the model established in this paper outperforms others in evaluation accuracy.
Keywords :
energy management systems; power supply quality; principal component analysis; support vector machines; thermal power stations; electric power supply chain; green coal supplier; green supply chain management; principle component analysis; support vector machine; thermal power supply chain; Coal; Green products; Indexes; Power supplies; Supply chains; Support vector machines; green supply chain management; principle component analysis; supplier evaluation; support vector machine;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Business Management and Electronic Information (BMEI), 2011 International Conference on
Conference_Location :
Guangzhou
Print_ISBN :
978-1-61284-108-3
Type :
conf
DOI :
10.1109/ICBMEI.2011.5914410
Filename :
5914410
Link To Document :
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