Abstract
This article outlines a hybrid method, incorporating multiple techniques into an evaluation process, in order to select competitive suppliers in a supply chain. It enables a purchaser to do single sourcing and multiple sourcing by calculating a combined supplier score (CSS), which accounts for both qualitative and quantitative factors that impact on supply chain performance. By performing a cluster analysis, it draws a supplier map (SM) so as to position suppliers within the qualitative and quantitative dimensions of performance efficiency, and to select a portfolio of suppliers from supplier segments, which are different in performance with regard to key factors.
| Original language | English |
|---|---|
| Pages (from-to) | 1303-1311 |
| Number of pages | 9 |
| Journal | Expert Systems with Applications |
| Volume | 34 |
| Issue number | 2 |
| DOIs | |
| State | Published - Feb 2008 |
Keywords
- Data mining
- Supplier selection
- Supply chain
- Supply chain management