An integrated fuzzy group decision making/fuzzy linear programming (FGDMLP) framework for supplier evaluation and order allocation

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 selecti...

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Veröffentlicht in:International journal of advanced manufacturing technology 2009-07, Vol.43 (5-6), p.590-607
Hauptverfasser: Razmi, Jafar, Songhori, Mohsen Jafari, Khakbaz, Mohammad Hossein
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Songhori, Mohsen Jafari
Khakbaz, Mohammad Hossein
description 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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subjects CAE) and Design
Component and supplier management
Computer-Aided Engineering (CAD
Decision making
Engineering
Industrial and Production Engineering
Integer programming
Linear programming
Mechanical Engineering
Media Management
Original Article
Supply chains
title An integrated fuzzy group decision making/fuzzy linear programming (FGDMLP) framework for supplier evaluation and order allocation
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