Multi-purpose reverse logistics network design for medical waste management in a megacity: Istanbul, Turkey

Esin Balci, Sezin Balci and Aysun Sofuoglu ()
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Esin Balci: Izmir Institute of Technology
Sezin Balci: Cizgi Technology Electronic Design and Manufacturing Inc.
Aysun Sofuoglu: Izmir Institute of Technology

Environment Systems and Decisions, 2022, vol. 42, issue 3, 372-387

Abstract: Abstract In the study, a multi-purpose reverse logistics network has been designed to create effectual management of medical waste (MW) generated in 39 districts of Istanbul, a heavily populated city, during the COVID-19 pandemic as well as that to be generated in the next decade. With the model, the medical waste management system in Istanbul is analyzed during the pandemic and for the next 10 years. The model attempts to integrate economic, environmental, and social objectives within the sustainable development goals. It aims to maximize the number of personnel and government earnings for the estimated MW of a megacity while minimizing the total fixed cost and the cost of carbon emissions and transportation. The results indicated that the existing facilities are sufficient for the treatment and disposal of MW generated even under pandemic conditions. However, the capacity of the sterilization facility could be insufficient to treat the estimated amount of MW in the next decade. Opening a sterilization facility near the sanitary landfill in Komurcuoda with a total management cost of 62,450,332 €/year would be an optimum solution for Istanbul MW. In comparison to the single-purpose model results, the multi-purpose model resulted in approximately 42,000 € more in total cost. Sensitivity analyses show that the amount of MW has the most significant effect on the total cost. This simple model created an effective MW management proposal for Istanbul, which can be a model for megacities.

Keywords: Medical waste; Medical waste management; COVID-19; Reverse logistics; Mixed-integer linear programming model (search for similar items in EconPapers)
Date: 2022
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DOI: 10.1007/s10669-022-09873-z

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