Article ID: | iaor2009309 |
Country: | Netherlands |
Volume: | 111 |
Issue: | 2 |
Start Page Number: | 763 |
End Page Number: | 781 |
Publication Date: | Jan 2008 |
Journal: | International Journal of Production Economics |
Authors: | Rizzi Antonio, Bottani Eleonora |
Keywords: | statistics: multivariate, decision theory: multiple criteria, fuzzy sets |
In this paper, a structured approach to select the most suitable dyad supplier/purchased items with the purpose to streamline the procurement process is proposed. Due to its characteristics, the approach is particularly suitable to be adopted when a wide number of vendors and purchased items have to be pondered. To progressively reduce the amount of alternatives to be assessed, the approach integrates cluster analysis and multi-criteria decision making techniques. Fuzzy logic is also brought in to deal with the ill-defined nature of the selection process.