Using Data Envelopment Analysis for Ranking Suppliers in the Presence of Nondiscretionary Factors
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Abstract
Building on the closeness and long-term relationships between buyers and suppliers is a critical success factor to establish a supply chain system. Therefore, the supplier ranking problem becomes the most important issue in implementing a successful supply chain system. Current models of supplier ranking assume that the decision-making criteria are completely discretionary and do not assume supplier ranking in the condition that some factors are nondiscretionary. This paper proposes a method for ranking suppliers in the presence of nondiscretionary factors. A numerical example demonstrates the application of the proposed method.
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International Journal of Procurement Management
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2
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3
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© 2009 Inderscience Publishers. This is the author-manuscript version of this paper. Reproduced in accordance with the copyright policy of the publisher. Please refer to the journal website for access to the definitive, published version.
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Commerce, Management, Tourism and Services not elsewhere classified
Business and Management