SRCCP: A stochastic robust chance-constrained programming model for municipal solid waste management under uncertainty

2009 ◽  
Vol 53 (6) ◽  
pp. 352-363 ◽  
Author(s):  
Y. Xu ◽  
G.H. Huang ◽  
X.S. Qin ◽  
M.F. Cao
2007 ◽  
Vol 12 (1) ◽  
pp. 105-121 ◽  
Author(s):  
SARIKA RATHI

Mumbai, the largest metropolitan city in India, generated 6,256 tons of waste per day in 2001. It is the responsibility of the Municipal Corporation of Greater Mumbai (MCGM) to provide Municipal Solid Waste (MSW) management services; however, the MCGM is not able to handle the increasing quantity of waste. As a result, waste litters all over the place giving rise to health and environmental problems. Hence, there is a need to involve private sector and community participation in waste management. In this paper, a linear programming model is developed to integrate different options and stakeholders involved in MSW management in Mumbai. Various economic and environmental costs associated with MSW management are taken into consideration while developing the model.


2017 ◽  
Vol 35 (4) ◽  
pp. 387-399 ◽  
Author(s):  
Ali Mirdar Harijani ◽  
Saeed Mansour ◽  
Behrooz Karimi

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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