Abstract
This paper presents the results of the optimization of the urban solid waste container network in the urban sector of the Ibarra City, Ecuador by the implementation of an optimization model, which consists of a multi-objective mixed integer programming model which has been successfully used in the context of recycling in past studies. This model was modified so that possible locations of the containers at each corner of the blocks containing the constructed buildings were considered. As well, a restriction to count the containers to be installed was added. Furthermore, to add robustness to the model, it was also considered the filling of the container based on the density of the deposited waste and the model objective functions – being, a weighted sum of the cost of the installation of the network along with the average walking distance between users and the assigned containers. The outputs of the model are the total number of containers and a map with the optimal locations of municipal solid waste containers for Ibarra city. The model was implemented in GAMS platform wherein parameters can be permanently revised so that the results may be updated in case of variations of the initial conditions.
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Acknowledgements
The authors acknowledge to the research project “Optimización de las rutas de recolección y tratamiento anaerobio para la industrialización energética de los desechos sólidos municipales” supported by Agreement Nro. UTN-FICA-2016-1139 by FICA from Universidad Técnica del Norte. As well, authors thank the valuable support given by the SDAS Research Group (www.sdas-group.com) and to VIRSAP – EP from the Municipal Government of Ibarra City, Ecuador.
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Herrera-Granda, I.D., Imbaquingo-Usiña, W.G., Lorente-Leyva, L.L., Herrera-Granda, E.P., Peluffo-Ordóñez, D.H., Rossit, D.G. (2019). Optimization of the Network of Urban Solid Waste Containers: A Case Study. In: Botto-Tobar, M., Pizarro, G., Zúñiga-Prieto, M., D’Armas, M., Zúñiga Sánchez, M. (eds) Technology Trends. CITT 2018. Communications in Computer and Information Science, vol 895. Springer, Cham. https://doi.org/10.1007/978-3-030-05532-5_44
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