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Designing a model for optimizing reverse logistics based on waste management to reduce environmental impacts
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M. Kakooee   , M. Modiri , Gh. Abbaspour Esfeden |
| Department of Industrial Management, South Tehran Branch, Islamic Azad University, Tehran, Iran |
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Abstract: (879 Views) |
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. Waste management includes collection, transport, cleaning, recycling, and disposal of the wastes. In recent years, due to environmental concerns, manufacturers have been forced to offer environmentally friendly products. So, the area of reverse logistics (RL) has recently received considerable attention, due to a combination of environmental, economic, and social factors.
In this research, the design of a multi-product and eleven-level reverse logistics network is conducted, which collects all the waste in one place and separates them according to the needs of the factories (in terms of the type and material of the waste, etc.) and sends them to the intended destination. This model can support all kinds of industries in which the revival of recycling and destruction of products.
This study provides a mixed integer mathematical model to reduce the costs of the whole system. The number of centers, the number of products and parts that should be sent from one center to another, the amount of CO2 emissions, and the total cost of the model were determined. Finally, the sensitivity analysis was done on the parameters of the model. The model was validated by changing the input data in two different cases.
Sensitivity analyses are conducted on various parameters to illustrate the capabilities of the proposed model. The results reveal that the allowed cost of CO2 emissions has a significant effect on the value of the objective function.
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| Keywords: Model, Optimization, Reverse Logistic, Waste Management, Environmental Impact. |
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Full-Text [PDF 922 kb]
(765 Downloads)
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Type of Study: Research |
Subject:
Special
Received: 2023/05/24 | Accepted: 2023/09/20 | Published: 2023/09/29
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