Insular Biobjective Routing with Environmental Considerations for a Solid Waste Collection System in Southern Chile

Daniela S. Arango González, Elias Olivares-Benitez, Pablo A. Miranda

Resultado de la investigación: Article

1 Cita (Scopus)

Resumen

This paper presents a biobjective problem for a solid waste collection system in a set of islands in southern Chile. The first objective minimizes transportation cost and the second one reduces the environmental impact caused by the accumulation of solid waste at the collection points. To solve this problem, biobjective mixed integer linear programming is used. In the model, an itinerary scheme is considered for the visit to the islands. The model decides which collection points are visited per island, the collection pattern, and quantity of solid waste to be collected at each site. The quantity of solid waste is obtained dividing the solid waste generated in the island by the number of collection points selected in that same island and the frequency of visits. For this problem, we considered that the environmental impact function varies through the days during which solid waste is accumulated at each collection point. We present an instance based on real data for a set of islands in Chiloe and Palena regions in southern Chile, in which the deposit node is Dalcahue. We used the epsilon-constraint method and the weighted sum method to obtain the Pareto front, using commercial optimization software.

Idioma originalEnglish
Número de artículo4093689
PublicaciónAdvances in Operations Research
Volumen2017
DOI
EstadoPublished - 1 ene 2017

Huella dactilar

Chile
Routing
Solid waste
Environmental impact
Mixed integer linear programming
Transportation costs
Pareto
Node
Software
Deposits

ASJC Scopus subject areas

  • Management Science and Operations Research

Citar esto

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Insular Biobjective Routing with Environmental Considerations for a Solid Waste Collection System in Southern Chile. / Arango González, Daniela S.; Olivares-Benitez, Elias; Miranda, Pablo A.

En: Advances in Operations Research, Vol. 2017, 4093689, 01.01.2017.

Resultado de la investigación: Article

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