Designing a Sustainable Closed-Loop Supply Chain Network of Automobile Tires Using a Multi-Objective Mathematical Programming Approach: A Case Study

Document Type : Original Article

Authors

1 Associate Professor, Department of Industrial Management and Technology, Faculty of Management and Accounting, Farabi School of Tehran University, Qom, Iran

2 Doctoral student of Industrial Management, Department of Industrial Management and Technology, Faculty of Management and Accounting, Farabi School of Tehran University, Qom, Iran

3 Department of Industrial Management, Shiraz University of Technology, Lamard Higher Education Center, Shiraz, Iran

Abstract

In this research, in order to increase the efficiency of the proposed supply chain network, a multi-product model with multiple objectives has been considered simultaneously. This model is designed to include four levels (supply, production, distribution, and first-class customers) in the forward network and four levels (collection centers, recycling centers, destruction centers, and second-class customers) in the backward network. The model has three objective functions: minimizing the total cost, minimizing the environmental impact, and maximizing the social impact of the supply chain. The cost objective function includes purchase cost (procurement of raw materials from suppliers and cost of purchasing returned products from customers), operating costs, inventory cost, transportation cost or flow transfer between facilities, and fixed setup cost. In the second objective function, it has always been tried to minimize the environmental effects that have adverse effects on the environment. In this article, the minimization of carbon dioxide gas caused by the transfer of flow between facilities is considered a function of the environmental objective. The third objective function includes the employee welfare index. Considering that the presented model belongs to the NP-hard category, the multi-objective genetic algorithm was used to solve the model, and finally the Pareto solutions were determined. Based on the obtained results, two economic and environmental objective functions are in conflict with each other. In the sense that the movement of each in the desired direction will require the movement of the other objective function in the unfavorable direction.

Keywords

References

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Green Development Management Studies
Volume 3, Issue 1 - Serial Number 5
April 2024
Pages 223-244

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