A multi-objective model for sustainable recycling of municipal solid waste. Issue 4 (April 2017)

• Record Type: Journal Article
• Authors: Mirdar Harijani, Ali; Mansour, Saeed; Karimi, Behrooz
• Is Part Of: Waste management & research. Volume 35:Issue 4(2017:Apr.)
• Page Start: 387
• Page End: 399
• Publication Date: 2017-04
• Subjects: Municipal solid waste -- recycling and disposal network -- optimisation -- multi-objective model -- sustainable development; Factory and trade waste -- Periodicals; Refuse and refuse disposal -- Periodicals; Municipal engineering -- Periodicals; Déchets industriels -- Périodiques; Déchets -- Élimination -- Périodiques; Génie urbain -- Périodiques; 628
• DOI: 10.1177/0734242X17693685
• Languages: English
• ISSNs: 0734-242X

Abstract

The efficient management of municipal solid waste is a major problem for large and populated cities. In many countries, the majority of municipal solid waste is landfilled or dumped owing to an inefficient waste management system. Therefore, an optimal and sustainable waste management strategy is needed. This study introduces a recycling and disposal network for sustainable utilisation of municipal solid waste. In order to optimise the network, we develop a multi-objective mixed integer linear programming model in which the economic, environmental and social dimensions of sustainability are concurrently balanced. The model is able to: select the best combination of waste treatment facilities; specify the type, location and capacity of waste treatment facilities; determine the allocation of waste to facilities; consider the transportation of waste and distribution of processed products; maximise the profit of the system; minimise the environmental footprint; maximise the social impacts of the system; and eventually generate an optimal and sustainable configuration for municipal solid waste management. The proposed methodology could be applied to any region around the world. Here, the city of Tehran, Iran, is presented as a real case study to show the applicability of the methodology.