Using Data Envelopment Analysis for Ranking Suppliers in the Presence of Nondiscretionary Factors
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Author(s)
Saen, Reza Farzipoor
Griffith University Author(s)
Year published
2009
Metadata
Show full item recordAbstract
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.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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Journal Title
International Journal of Procurement Management
Volume
2
Issue
3
Copyright Statement
© 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.
Subject
Commerce, Management, Tourism and Services not elsewhere classified
Business and Management