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Abstract:

A method is proposed that uses operations research techniques to optimize the routes of waste collection vehicles servicing dumpster or skip-type containers. The waste collection problem is reduced to the classic travelling salesman problem, which is then solved using the Concorde solver program. A case study applying the method to the collection system in the southern zone of Buenos Aires is also presented. In addition to the typical minimum distance criterion, the optimization problem incorporates the objective of reducing vehicle wear and tear as measured by the physics concept of mechanical work. The solution approach, employing graph theory and mathematical programming tools, is fully described and the data correction process is also discussed. The application of the proposed method minimized the distance travelled by each collection vehicle in the areas studied, with actual reductions ranging from 10 to 40% of the existing routes. The shortened distances led in turn to substantial decreases in work done and therefore in vehicle wear and tear. Extrapolation of the results to the entire southern zone of Buenos Aires indicates potential savings for the civic authorities of more than US$200 000 per year in addition to the qualitative impacts of less traffic disruption, less vehicle driver fatigue and less pollution. © The Author(s) 2012.

Registro:

Documento: Artículo
Título:A method for optimizing waste collection using mathematical programming: A Buenos Aires case study
Autor:Bonomo, F.; Durán, G.; Larumbe, F.; Marenco, J.
Filiación:Departamento de Computación, FCEyN, Universidad de Buenos Aires, Buenos Aires, Argentina
CONICET, Argentina
Departamento de Matemática, FCEyN, Universidad de Buenos Aires Ciudad Universitaria, pab. I, 1428 Buenos Aires, Argentina
Departamento de Ingeniería Industrial, FCFM, Universidad de Chile, Santiago, Chile
Instituto de Ciencias, Universidad Nacional de General Sarmiento, Los Polvorines, Argentina
Palabras clave:Environment; mathematical programming; TSP; vehicle routing; waste collection; Buenos Aires; Collection systems; Collection vehicles; Data corrections; Driver fatigue; Environment; In-vehicle; Mechanical work; Minimum distance; Optimization problems; Solution approach; Traffic disruption; Travelling salesman problem; TSP; waste collection; Wear and tear; Graph theory; Refuse collection; Research; Traveling salesman problem; Vehicle routing; Mathematical programming; automobile; graphical method; numerical method; optimization; pollution control; savings; traffic congestion; waste management; wear; algorithm; article; mathematical analysis; pollution; priority journal; sensitivity analysis; traffic and transport; travel; waste management; Argentina; Cities; Models, Theoretical; Refuse Disposal; Sensitivity and Specificity; Transportation; Argentina; Buenos Aires [Argentina]
Año:2012
Volumen:30
Número:3
Página de inicio:311
Página de fin:324
DOI: http://dx.doi.org/10.1177/0734242X11402870
Título revista:Waste Management and Research
Título revista abreviado:Waste Manage. Res.
ISSN:0734242X
CODEN:WMARD
Registro:https://bibliotecadigital.exactas.uba.ar/collection/paper/document/paper_0734242X_v30_n3_p311_Bonomo

Referencias:

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Citas:

---------- APA ----------
Bonomo, F., Durán, G., Larumbe, F. & Marenco, J. (2012) . A method for optimizing waste collection using mathematical programming: A Buenos Aires case study. Waste Management and Research, 30(3), 311-324.
http://dx.doi.org/10.1177/0734242X11402870
---------- CHICAGO ----------
Bonomo, F., Durán, G., Larumbe, F., Marenco, J. "A method for optimizing waste collection using mathematical programming: A Buenos Aires case study" . Waste Management and Research 30, no. 3 (2012) : 311-324.
http://dx.doi.org/10.1177/0734242X11402870
---------- MLA ----------
Bonomo, F., Durán, G., Larumbe, F., Marenco, J. "A method for optimizing waste collection using mathematical programming: A Buenos Aires case study" . Waste Management and Research, vol. 30, no. 3, 2012, pp. 311-324.
http://dx.doi.org/10.1177/0734242X11402870
---------- VANCOUVER ----------
Bonomo, F., Durán, G., Larumbe, F., Marenco, J. A method for optimizing waste collection using mathematical programming: A Buenos Aires case study. Waste Manage. Res. 2012;30(3):311-324.
http://dx.doi.org/10.1177/0734242X11402870