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Nephron Algorithm: A New Approach for Rank-Oriented Clustering Case Study: Supplier Selection of Multinational Company

Journal Name:

  • International Journal of Science and Engineering Investigations

Publication Year:

  • 2012

Key Words:

Author NameUniversity of AuthorFaculty of Author
Abstract (2. Language): 
Since, supplier chain management (SCM) can respond to rapid market changes quickly and hence increase competitive advantage and on the other hand, supplier lies in first node of SCM. So, supplier evaluation and selection is important task to the whole SCM's agility and competition. Besides, there exist several proposed approaches to resolve this problem. However, a different methodology is proposed due to its powerful discriminatory performance, in this paper. For this purpose, the algorithm was inspired based of nephron performance because of its intelligent screening. It can be applied as data mining technique in order to cluster as well as prioritize suppliers according their attributes and scores respectively. Therefore, it is employed in order to enhance the power of evaluating the supplier performance based of not only its scores but also its homogeneity with other suppliers. To illustrate the proposed model, the large, multinational, and Telecommunication Company was taken into account. Consequently, applied model is supposed to cluster suppliers precisely and accurately according to intellectual logic of nephron. Thus, data of one multinational and Communication Company were taken to be prioritized by applying the nephron algorithm and suppliers were ranked and categorized based on new approach accurately.
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  • English

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