Abstract
Selecting an appropriate supplier for outsourcing is now one of the most important decisions of the purchasing department. This paper proposes a model for ranking suppliers in the presence of weight restrictions, nondiscretionary factors, and cardinal and ordinal data. A numerical example demonstrates the application of the proposed method.
Original language | English |
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Pages (from-to) | 177-192 |
Number of pages | 16 |
Journal | Annals of Operations Research |
Volume | 172 |
Issue number | 1 |
DOIs | |
Publication status | Published - Jan 2009 |
Keywords
- Cardinal and ordinal data
- Data envelopment analysis
- Nondiscretionary factors
- Supplier ranking
- Weights restriction
ASJC Scopus subject areas
- Decision Sciences(all)
- Management Science and Operations Research