A MULTI-OBJECTIVE OPTIMIZATION MODEL TO SUPPORT THE MUNICIPAL SOLID WASTE MANAGEMENT

2019 ◽  
Vol 18 (5) ◽  
pp. 1077-1088
Author(s):  
Rafaella de Souza Henriques ◽  
Lineker Max Goulart Coelho
Keyword(s):  
Waste Management ◽  
Municipal Solid Waste ◽  
Solid Waste ◽  
Optimization Model ◽  
Solid Waste Management ◽  
Municipal Solid Waste Management ◽  
Multi Objective Optimization ◽  
Multi Objective

A multi-objective model for sustainable recycling of municipal solid waste

2017 ◽  
Vol 35 (4) ◽  
pp. 387-399 ◽  
Author(s):  
Ali Mirdar Harijani ◽  
Saeed Mansour ◽  
Behrooz Karimi
Keyword(s):  
Waste Management ◽  
Municipal Solid Waste ◽  
Solid Waste ◽  
Waste Treatment ◽  
Solid Waste Management ◽  
Programming Model ◽  
Mixed Integer ◽  
Municipal Solid Waste Management ◽  
Multi Objective ◽  
Treatment Facilities

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.

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