Designing of Fuzzy Multi-Objective (FMO) optimization model orientation integration of financial and operational flow in LARG supply network
The purpose of this article was to designing four level supply network with the simultaneous consideration of operational and financial flow in LARG supply network framework in Saipa Yadak Company. The innovation of article was presenting an integrated financial- operational approach to LARG supply network and new aspect of research was considering four levels of suppliers factories distribution centers and customers by Fuzzy Multi-Objective (FMO) optimization at strategic and technical decision-making levels. One of the prominent features of proposed model was use of Goal Programing (GP) for modeling financial flow and achieving producer's financial goals. Since the proposed model was a two objective model SO and TH FMO interactive approaches which are able to adjust degree of satisfaction of the objective functions were used to solve model. Using these approaches in addition to GP the enables decision-maker to make final decision by choosing the right solution based on degree of satisfaction and priority of each objective function. The mathematical model presented in the GAMS optimization software were coded and solved with CPLEX solver. Finally to show the efficiency and fit of the model integrated financial approach of the present article was compared with a non-financial model.
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Designing a balanced scorecard in the supply network of the automotive industry with fuzzy TOPSIS approach
Nafiseh Charestani, Sina Abouei Mehrizi*
Journal of Quantitative Studies in Management, -
Identification of Evaluation indicators in Automotive Industry LARG Supply Chain via Fuzzy Best-Worst Method: The Case of Saipa Yadak Company
Sina Aboei Mehrizi, MohammadMehdi Movahedi *, Alireza Rashidi Komijan
Journal of Productivity Management,