TY - JOUR
T1 - An integrated fuzzy group decision making/fuzzy linear programming (FGDMLP) framework for supplier evaluation and order allocation
AU - Razmi, Jafar
AU - Songhori, Mohsen Jafari
AU - Khakbaz, Mohammad Hossein
PY - 2009/7
Y1 - 2009/7
N2 - 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.
AB - 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.
KW - Supplier evaluation
KW - Fuzzy group decision making
KW - Order allocation
KW - Fuzzy linear programming
KW - TOPSIS
U2 - 10.1007/s00170-008-1719-7
DO - 10.1007/s00170-008-1719-7
M3 - Article
VL - 43
SP - 590
EP - 607
JO - International journal of advanced manufacturing technology
JF - International journal of advanced manufacturing technology
SN - 0268-3768
IS - 5-6
ER -