A bi-objective integer programming model for locating garbage accumulation points: a case study

Keywords: Smart cities, Municipal solid waste, Multiobjetive optimization


Enhancing efficiency in Municipal Solid Waste (MSW) management is crucial for local governments, which are generally in charge of collection, since this activity explains a large proportion of their budgetary expenses. The incorporation of decision support tools can contribute to improve the MSW system, specially by reducing the required investment of funds. This article proposes a mathematical formulation, based on integer programming, to determine the location of garbage accumulation points while minimizing the expenses of the system, i.e., the installment cost of bins and the required number of visits the collection vehicle which is related with the routing cost of the collection. The model was tested in some scenarios of an important Argentinian city that stills has a door-to-door system, including instances with unsorted waste, which is the current situation of the city, and also instances with source classified waste. Although the scenarios with classified waste evidenced to be more challenging for the proposed resolution approach, a set of solutions was provided in all scenarios. These solutions can be used as a starting point for migrating from the current door-to-door system to a community bins system.

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Author Biographies

Diego Gabriel Rossit, National University of South, CONICET

INMABB, Engineering Department.

Sergio Nesmachnow, University of the Republic

Faculty of Engineering.

Jamal Toutouh, Massachusetts Institute of Technology

Computer Science and Artificial Intelligence Laboratory.


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How to Cite
RossitD. G., NesmachnowS., & ToutouhJ. (2019). A bi-objective integer programming model for locating garbage accumulation points: a case study. Revista Facultad De Ingeniería Universidad De Antioquia, (93), 70-81. https://doi.org/10.17533/udea.redin.20190509