Proposal for the location of a network of MSW conteiners using the P-median model
DOI:
https://doi.org/10.63728/riisds.v7i1.178Keywords:
P-median problem, Municipal Solid Waste (MSW), optimization, location, networkAbstract
The collection of MSW is a constant challenge for humanity in all sectors, since directly depends on the cosumer of population and this behavior registers constant changes. The objetive of the p-median model is to minimize travel distance between stations that meet certain demands. In this particular case, the application of the model suggests the strategic placement of a network of containers that guarantee the greatest amount of waste collected daily inside a corporation consisting of a twenty area, in the city of Altamira, in the state of Tamaulipas. The Project performs an evaluation and analyzes of a structure of a control of static generated in order to adequately manage the growth that the company has registered in the last year.
References
Benítez Bravo R., Gómez González R., Rivas García P., Botello Álvarez J. (2021). Optimization of municipal solid waste collection routes in a latin-american context. Journal of the air and waste management association.
Daskin M., Maass K. (2015) The p-median problem.
Diagnostico Básico para la Gestión Integral de los Residuos. Primera Edición mayo 2020 Secretaría de Medio Ambiente y Recursos Naturales.
García. Ramos, M (2012) Hacia una gestión Integral de los R.S.U..DYNA, 72(2) 30-35
Hakimi S.L. (1964), Optimum locations of switching centers and the absolute centers and medians of a graph, Operations Research, Volume 12, 450-459.
Hoornweg, D. y P. Bhada-Tata. Waste generation. In: What a Waste. A Global Review of Solid Waste Management. Urban Development Series. World Bank. Washington, D.C. 2012.Disponible en http://siteresources.worldbank.org/INTURBANDEVELOPMENT/Resources/3363871334852610766/Chap3.pdf
SEMARNAT. Secretaria de Medio Ambiente y Recursos Naturales. México. 2017. Disponible en: https://www.gob.mx/semarnat/acciones-y-programas/residuos-solidos-urbanos-rsu
Laporte, G., Nickel S., Saldanha F. Da Gama. Location Science, Springer, 2015.
Melo, M. T., Nickel, S., & Saldanha-da-Gama, Facility location and supply chain management – A review. European Journal of Operational Research F. (2009)., 196(2), 401–412. http://doi.org/10.1016/j.ejor.2008.05.007
Noorian S., Psyllidis A., Bozzon A. (2018). A time-varying p-median model for location-allocation analysis. Delft University of Technology.
ReVelle, C. S., & Eiselt, H. a. (2005). Location analysis: A synthesis and survey. European Journal of Operational Research, 165(1), 1–19. http://doi.org/10.1016/j.ejor.2003.11.032
SEMARNAT. Informe de la situación del medio ambiente en México 2015.
Yang Kan, Wang Rui, He Huihui, Yang Xu, Zhang Guo (2021) Multi-supply multi-capacitated p-median location optimization via a hybrid bi-level intelligent algorithm.
Yingpeng Hu, Kaixi Zang, Jin Yang, Yanghui Wu (2018) Mathematical Problems in Engineering. Application of hierarchical facility location-routing problem with optimization of an underground logistic system: a case study in China
Downloads
Published
How to Cite
Issue
Section
License
Copyright (c) 2021 Revista Interdisciplinaria de Ingeniería Sustentable y Desarrollo Social
This work is licensed under a Creative Commons Attribution 4.0 International License.
