Artículo
Autoría
ROSSIT, DIEGO GABRIEL
;
Nesmachnow, Sergio
;
Toutouh, Jamal
Fecha
2019
Editorial y Lugar de Edición
Springer Verlag
Revista
Communications in Computer and Information Science,
vol. 978
(pp. 102-115)
- ISSN 1865-0929
Springer Verlag
Springer Verlag
ISSN
1865-0929
Resumen
Información suministrada por el agente en
SIGEVA
Residential garbage collection is an important urban issue to address in modern cities, being a key activity that explains a large proportion of budget expenses for local governments. Under the smart cities paradigm, specific solutions can be developed to plan a better garbage collection system, improving the quality of service provided to citizens and reducing costs. This article addresses the problem of selecting locations for community bins in a medium size Argentinian city, that still uses ...
Residential garbage collection is an important urban issue to address in modern cities, being a key activity that explains a large proportion of budget expenses for local governments. Under the smart cities paradigm, specific solutions can be developed to plan a better garbage collection system, improving the quality of service provided to citizens and reducing costs. This article addresses the problem of selecting locations for community bins in a medium size Argentinian city, that still uses a door-to-door system. An integer programming model is presented to locate community bins that minimize the installment cost while also maximize the days between two consecutive visit of the collection vehicle. Results demonstrate that the proposed model and the proposed resolution algorithm were able to provide a set of suitable solutions that canbe used as a starting point for migrating from the current door-to-door system to a community bins system.
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Palabras Clave
MUNICIPAL SOLID WASTESMART CITIESMULTIOBJECTIVE OPTIMIZATION