Abstract
Supplier selection is the process by which suppliers are reviewed, evaluated, and chosen to become part of a company's supply chain. To select the best suppliers in the presence of cardinal data, ordinal data, nondiscretionary factors, and weight restrictions, this paper proposes a new model considering all of these assumptions. A numerical example demonstrates the application of the proposed method.
| Original language | English |
|---|---|
| Pages (from-to) | 25-41 |
| Number of pages | 17 |
| Journal | International Journal of Information Systems and Supply Chain Management |
| Volume | 3 |
| Issue number | 4 |
| DOIs | |
| Publication status | Published - Oct 2010 |
Keywords
- Assurance region
- Company supply chain
- Imprecise data envelopment analysis
- Nondiscretionary factors
- Supplier selection
ASJC Scopus subject areas
- Management Information Systems
- Information Systems