An integrated fuzzy group decision making/fuzzy linear programming (FGDMLP) framework for supplier evaluation and order allocation |
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Authors: | Jafar Razmi Mohsen Jafari Songhori Mohammad Hossein Khakbaz |
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Affiliation: | 1. Department of Industrial Engineering, College of Engineering, University of Tehran, Tehran, P. O. Box 11155–4563, Iran 3. Department of Industrial Engineering, Faculty of Engineering, University of Tehran, Tehran, Iran 2. Department of Industrial Engineering, Faculty of Engineering, University of TMU, Tehran, Iran
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Abstract: | Supplier selection and related issues are among the most important decisions in the supply chain management area. Even though there have been so many articles and studies that focused on the mentioned problem in the literature, a few of them considered the major decisions related to supplier selection. In an attempt to fulfill that void, we present an integrated framework that involves two stages: suppliers’ evaluation and order allocation. For supplier evaluation, a fuzzy TOPSIS model with a combination of two validated coefficients is conducted. Then, an integer programming with fuzzy objectives and constraints is formulated to assign optimal quantity of order to allocated supplier. Finally, the framework is implemented in a case study organization, and the results are presented. |
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