Presenting a reverse logistics optimization model to reduce environmental effects based on waste management

Subject Areas :

Mahta Kakooee ¹ , Mahmoud Modiri ^{2 *} , Ghanbar Abbaspour Esfeden ³

1 - PhD student in Industrial Management, South Tehran Branch, Islamic Azad University, Tehran, Iran
2 - Department of Management industrial, South Tehran Branch, Islamic Azad University, Tehran, Iran.
3 - Department of Industrial Management, South Tehran Branch, Islamic Azad University, Tehran, Iran

Received: 2024-01-17 Accepted : 2024-06-13 Published : 2024-05-01

Keywords: Model, Optimization, Reverse Logistic, Waste Management, Environmental Impact,

Abstract :

Purpose: Solid waste has become one of the most critical environmental issues in the world. Therefore, a waste management system to prevent further destruction of the environment is essential.

Research methodology: This research presents a model to reduce environmental impacts. This research includes an eleven-level, multi-product reverse logistics network that is capable of supporting a variety of industries whose products are at the end of their life cycle. This research designs a reverse logistics network that collects all waste in one place and separates it based on the needs of the factories (in terms of type and nature of waste, etc.) and sends it to the desired destination for recycling. In this research, a mixed mathematical model is presented to reduce the costs of the entire system. In this research, after solving the model, the model is validated with different data and sensitivity analysis is performed for the key parameters of the model.

Findings The number of facility centers, the number of products and parts to be shipped from one center to another, the amount of CO2 emissions, and the total cost of the model are specified. Finally, sensitivity analysis is performed on the model parameters and the model is validated by changing the input data in two different cases. Sensitivity analyses are performed on different parameters to demonstrate the capabilities of the proposed model. The results show that the allowable cost of CO2 emissions has a significant impact on the value of the objective function.

Originality/scientific added value: Today, population growth and rapid urbanization, along with rising social standards of living, have significantly accelerated the production of solid waste in the world. Solid waste has become one of the most important environmental issues worldwide.

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