DocumentCode :
2925668
Title :
Supplier selection in webinar supply chain using self-organizing maps and data mining
Author :
Hosseini, Roya ; Saryazdi, Nahid Ghassabzadeh ; Golpayegani, Sayyed Alireza Hashemi
Author_Institution :
Dept. of Comput. Eng. & IT, Amirkabir Univ. of Technol., Tehran, Iran
fYear :
2011
fDate :
27-30 June 2011
Firstpage :
759
Lastpage :
764
Abstract :
In today´s competitive world, companies are constantly investigating new approaches for reducing costs. To reach this goal, companies need to carefully plan supply chain management processes. Supplier selection is one of the most important strategic issues in supply chain. Supplier selection in supply chain management is a multi criteria decision making process which consists of both quantitative and qualitative criteria. By the rapid growth of outsourcing, supplier selection has gained significant importance. Customer satisfaction, and also satisfying customer requirements and priorities all depends on proper selection of suppliers. On the other hand, the complexity and importance of supplier selection decisions, makes the necessity of having a well-defined method more vivid. There are many methods in the literature which are proposed for supplier selection but each of them has certain limitations. In this paper, as there has been less attention to the importance of ever increasing electronic supply chain, we aim to provide a suppler selection method for one of the most important electronic supply chain, namely webinar. In the proposed method SOM and data mining techniques are deployed for the selection of best suppliers.
Keywords :
Internet; customer satisfaction; data mining; decision making; electronic commerce; self-organising feature maps; supply chain management; Webinar supply chain management process; customer satisfaction; data mining techniques; electronic supply chain; multicriteria decision making process; selforganizing maps; supplier selection method; Artificial neural networks; Customer satisfaction; Data mining; Decision making; Supply chain management; Supply chains; Webinars;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Technology Management Conference (ITMC), 2011 IEEE International
Conference_Location :
San Jose, CA
Print_ISBN :
978-1-61284-951-5
Type :
conf
DOI :
10.1109/ITMC.2011.5996054
Filename :
5996054
Link To Document :
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