DocumentCode :
3453218
Title :
Improved TOPSIS Based on Rough Set theory for Selection of Suppliers
Author :
Lu, Jianchang ; Zhao, Zhiwei
Author_Institution :
Sch. of Bus. & Adm., North China Electr. Power Univ., Baoding
fYear :
2008
fDate :
12-14 Oct. 2008
Firstpage :
1
Lastpage :
4
Abstract :
In the supply chain management, main manufactures attach increasing importance to their partnerships´ effect. In order to select partnerships properly, certain attributes of the partnerships should be carefully analysis. Supplier selection is a multi criteria problem which multi attributions of the suppliers should be considered in SCM (Supply Chain Management). We models supplier evaluation problem as an MCDM problem and combines the technique of rough Set theory and TOPSIS (technique for order performance by similarity to idea solution). We discuss using the Rough Set theory to determine the relative weights of multiple evaluation criteria. Finally, an example is shown to highlight the procedure of the proposed method at the end it shows that the proposed model is very well suited as a decision making tool for supplier selection decisions.
Keywords :
rough set theory; supply chain management; rough set theory; supplier evaluation problem; supplier selection; supply chain management; Artificial intelligence; Data analysis; Decision making; Logic; Manufacturing; Pattern recognition; Resource management; Set theory; Supply chain management; Supply chains;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Wireless Communications, Networking and Mobile Computing, 2008. WiCOM '08. 4th International Conference on
Conference_Location :
Dalian
Print_ISBN :
978-1-4244-2107-7
Electronic_ISBN :
978-1-4244-2108-4
Type :
conf
DOI :
10.1109/WiCom.2008.1537
Filename :
4679445
Link To Document :
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