Article ID: | iaor200973132 |
Country: | United Kingdom |
Volume: | 6 |
Issue: | 1 |
Start Page Number: | 76 |
End Page Number: | 98 |
Publication Date: | Jan 2010 |
Journal: | International Journal of Logistics Systems and Management |
Authors: | Azadeh Ali, Khakbaz M H, Songhori M Jafari |
Keywords: | statistics: data envelopment analysis |
Supplier selection and related issues are among the most important decisions in the area of Supply Chain Management. A few of papers and studies have considered the major decisions related to supplier selection with non‐crisp data. This paper comes across with a novel approach to the problem by presenting an integrated framework which involves two stages: suppliers' evaluation and order allocation. In this way, for suppliers' evaluation, a Fuzzy Data Envelopment Analysis (Fuzzy DEA) model is conducted and then a multi‐objective integer programming with fuzzy objectives and fuzzy constraints is formulated to assign an optimal quantity of orders to suppliers.