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
Sign-in/Register to access full text options 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
