Designing a Multi-Objective Resource-Based Mathematical Modeling: An Approach to Supply Chain Risk Reduction (Case Study: Iran Khodro Supply Chain)

Document Type : Original Article


1 Assistant Professor, Shahid Beheshti University.

2 Professor, Tarbiat Modares University.

3 Professor, Sharif University of Technology.

4 Assistant Professor, Imam Sadiq University.


Sourcing and allocating orders to appropriate suppliers substantially reduces procurement costs and increases the competitiveness of the organization. On the other hand, in today's increasingly competitive environment, the high speed of change has added to the uncertainty surrounding decisions. Due to these two issues, in order to increase the reliability of this research, two parts of Iran Khodro Company's product optimization approach are used. Due to the high number of parts, each vehicle, parts, was selected for evaluation and the model for supplying these parts was designed in the form of a multi-period multi-objective linear programming model. Due to the uncertainty of some of the model parameters, these parameters were considered as random variables. To address these concerns, using our existing techniques, our model was transformed into a robust model that could provide reliable answers. Finally, a simulation technique was used to evaluate the accuracy of the model performance and to evaluate the quality of the solutions.


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