Abstract
This paper presents a multi-objective optimization model for a sustainable municipal solid waste management system, emphasizing recycling and waste-to-energy technologies. The objective functions attempt to minimize total net cost, greenhouse gas emissions, and total waste collection and treatment time. The social aspect of the system is controlled by assessing the social performance of waste treatment technologies. The novel feature of this study is incorporating pricing decisions into the traditional location-allocation-routing-inventory waste management problems. The model is implemented on a case study in the southeast part of Tehran and is solved using the Lexicographic and AUGMECON2 approaches. Comparing the results of these methods indicates that considering all three objective functions as equally important leads to 21.5% more costs and 27% less environmental effects, comparing when minimizing costs is the priority. Moreover, results suggest establishing a landfill with gas recovery, material recovery facility, and composting plant with capacities of 700, 500, and 1170 tons/day. The model's outcomes suggest considering a minimum social performance score between 1.5 and 2.5 for the system under study regarding the impact of social performance on the objective functions
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