An application of the augmented ε-constraint method to design a municipal sorted waste collection system

Autores
Rossit, Diego Gabriel; Tohmé, Fernando Abel; Frutos, Mariano; Broz, Diego Ricardo
Año de publicación
2017
Idioma
inglés
Tipo de recurso
artículo
Estado
versión publicada
Descripción
The separation at the source of Municipal Solid Waste (MSW) is an initiative that facilitates the subsequent recycling work and contributes to palliate the negative impacts of the traditional unsorted collection system. This paper presents a multi-objective integer linear programming model of the determination of the optimal location of assorted waste bins in an urban area. We consider, jointly, the objectives of minimizing the investment cost and the average distance from the dwellings to the bins. The model was applied in simulated instances of an Argentinian medium-size city, contributing to the transition from the current door-to-door based system to a community bins system. To solve this problem, we apply both the weighting method, which has been used to solve similar problems in the literature, and a novel version of the augmented ε-constraint method (AUGMECON2). The results over simulated scenarios show that, in general, AUGMECON2 has a better performance, yielding a larger number of efficient solutions at lower computation times.
Fil: Rossit, Diego Gabriel. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Bahía Blanca. Instituto de Investigaciones Económicas y Sociales del Sur. Universidad Nacional del Sur. Departamento de Economía. Instituto de Investigaciones Económicas y Sociales del Sur; Argentina
Fil: Tohmé, Fernando Abel. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Bahía Blanca. Instituto de Matemática Bahía Blanca. Universidad Nacional del Sur. Departamento de Matemática. Instituto de Matemática Bahía Blanca; Argentina
Fil: Frutos, Mariano. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Bahía Blanca. Instituto de Investigaciones Económicas y Sociales del Sur. Universidad Nacional del Sur. Departamento de Economía. Instituto de Investigaciones Económicas y Sociales del Sur; Argentina
Fil: Broz, Diego Ricardo. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnol.conicet - Nordeste. Unidad de Adm.territorial; Argentina. Universidad Nacional de Misiones. Facultad de Ciencias Forestales; Argentina
Materia
MUNICIPAL SOLID WASTE
SUSTAINABILITY
MULTI-OBJECTIVE CAPACITATED
FACILITY LOCATION PROBLEM
Nivel de accesibilidad
acceso abierto
Condiciones de uso
https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
Repositorio
CONICET Digital (CONICET)
Institución
Consejo Nacional de Investigaciones Científicas y Técnicas
OAI Identificador
oai:ri.conicet.gov.ar:11336/42678
Acceder
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network_name_str CONICET Digital (CONICET)
spelling An application of the augmented ε-constraint method to design a municipal sorted waste collection systemRossit, Diego GabrielTohmé, Fernando AbelFrutos, MarianoBroz, Diego RicardoMUNICIPAL SOLID WASTESUSTAINABILITYMULTI-OBJECTIVE CAPACITATEDFACILITY LOCATION PROBLEMhttps://purl.org/becyt/ford/2.5https://purl.org/becyt/ford/2https://purl.org/becyt/ford/1.1https://purl.org/becyt/ford/1The separation at the source of Municipal Solid Waste (MSW) is an initiative that facilitates the subsequent recycling work and contributes to palliate the negative impacts of the traditional unsorted collection system. This paper presents a multi-objective integer linear programming model of the determination of the optimal location of assorted waste bins in an urban area. We consider, jointly, the objectives of minimizing the investment cost and the average distance from the dwellings to the bins. The model was applied in simulated instances of an Argentinian medium-size city, contributing to the transition from the current door-to-door based system to a community bins system. To solve this problem, we apply both the weighting method, which has been used to solve similar problems in the literature, and a novel version of the augmented ε-constraint method (AUGMECON2). The results over simulated scenarios show that, in general, AUGMECON2 has a better performance, yielding a larger number of efficient solutions at lower computation times.Fil: Rossit, Diego Gabriel. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Bahía Blanca. Instituto de Investigaciones Económicas y Sociales del Sur. Universidad Nacional del Sur. Departamento de Economía. Instituto de Investigaciones Económicas y Sociales del Sur; ArgentinaFil: Tohmé, Fernando Abel. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Bahía Blanca. Instituto de Matemática Bahía Blanca. Universidad Nacional del Sur. Departamento de Matemática. Instituto de Matemática Bahía Blanca; ArgentinaFil: Frutos, Mariano. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Bahía Blanca. Instituto de Investigaciones Económicas y Sociales del Sur. Universidad Nacional del Sur. Departamento de Economía. Instituto de Investigaciones Económicas y Sociales del Sur; ArgentinaFil: Broz, Diego Ricardo. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnol.conicet - Nordeste. Unidad de Adm.territorial; Argentina. Universidad Nacional de Misiones. Facultad de Ciencias Forestales; ArgentinaGrowing Science2017-03info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionhttp://purl.org/coar/resource_type/c_6501info:ar-repo/semantics/articuloapplication/pdfapplication/pdfapplication/pdfhttp://hdl.handle.net/11336/42678Rossit, Diego Gabriel; Tohmé, Fernando Abel; Frutos, Mariano; Broz, Diego Ricardo; An application of the augmented ε-constraint method to design a municipal sorted waste collection system; Growing Science; Decision Science Letters; 6; 4; 3-2017; 323-3361929-58041929-5812CONICET DigitalCONICETenginfo:eu-repo/semantics/altIdentifier/doi/10.5267/j.dsl.2017.3.001info:eu-repo/semantics/altIdentifier/url/http://growingscience.com/beta/dsl/2518-an-application-of-the-augmented-constraint-method-to-design-a-municipal-sorted-waste-collection-system.htmlinfo:eu-repo/semantics/openAccesshttps://creativecommons.org/licenses/by-nc-sa/2.5/ar/reponame:CONICET Digital (CONICET)instname:Consejo Nacional de Investigaciones Científicas y Técnicas2025-09-03T09:58:07Zoai:ri.conicet.gov.ar:11336/42678instacron:CONICETInstitucionalhttp://ri.conicet.gov.ar/Organismo científico-tecnológicoNo correspondehttp://ri.conicet.gov.ar/oai/requestdasensio@conicet.gov.ar; lcarlino@conicet.gov.arArgentinaNo correspondeNo correspondeNo correspondeopendoar:34982025-09-03 09:58:07.98CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicasfalse
dc.title.none.fl_str_mv An application of the augmented ε-constraint method to design a municipal sorted waste collection system
title An application of the augmented ε-constraint method to design a municipal sorted waste collection system
spellingShingle An application of the augmented ε-constraint method to design a municipal sorted waste collection system
Rossit, Diego Gabriel
MUNICIPAL SOLID WASTE
SUSTAINABILITY
MULTI-OBJECTIVE CAPACITATED
FACILITY LOCATION PROBLEM
title_short An application of the augmented ε-constraint method to design a municipal sorted waste collection system
title_full An application of the augmented ε-constraint method to design a municipal sorted waste collection system
title_fullStr An application of the augmented ε-constraint method to design a municipal sorted waste collection system
title_full_unstemmed An application of the augmented ε-constraint method to design a municipal sorted waste collection system
title_sort An application of the augmented ε-constraint method to design a municipal sorted waste collection system
dc.creator.none.fl_str_mv Rossit, Diego Gabriel
Tohmé, Fernando Abel
Frutos, Mariano
Broz, Diego Ricardo
author Rossit, Diego Gabriel
author_facet Rossit, Diego Gabriel
Tohmé, Fernando Abel
Frutos, Mariano
Broz, Diego Ricardo
author_role author
author2 Tohmé, Fernando Abel
Frutos, Mariano
Broz, Diego Ricardo
author2_role author
author
author
dc.subject.none.fl_str_mv MUNICIPAL SOLID WASTE
SUSTAINABILITY
MULTI-OBJECTIVE CAPACITATED
FACILITY LOCATION PROBLEM
topic MUNICIPAL SOLID WASTE
SUSTAINABILITY
MULTI-OBJECTIVE CAPACITATED
FACILITY LOCATION PROBLEM
purl_subject.fl_str_mv https://purl.org/becyt/ford/2.5
https://purl.org/becyt/ford/2
https://purl.org/becyt/ford/1.1
https://purl.org/becyt/ford/1
dc.description.none.fl_txt_mv The separation at the source of Municipal Solid Waste (MSW) is an initiative that facilitates the subsequent recycling work and contributes to palliate the negative impacts of the traditional unsorted collection system. This paper presents a multi-objective integer linear programming model of the determination of the optimal location of assorted waste bins in an urban area. We consider, jointly, the objectives of minimizing the investment cost and the average distance from the dwellings to the bins. The model was applied in simulated instances of an Argentinian medium-size city, contributing to the transition from the current door-to-door based system to a community bins system. To solve this problem, we apply both the weighting method, which has been used to solve similar problems in the literature, and a novel version of the augmented ε-constraint method (AUGMECON2). The results over simulated scenarios show that, in general, AUGMECON2 has a better performance, yielding a larger number of efficient solutions at lower computation times.
Fil: Rossit, Diego Gabriel. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Bahía Blanca. Instituto de Investigaciones Económicas y Sociales del Sur. Universidad Nacional del Sur. Departamento de Economía. Instituto de Investigaciones Económicas y Sociales del Sur; Argentina
Fil: Tohmé, Fernando Abel. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Bahía Blanca. Instituto de Matemática Bahía Blanca. Universidad Nacional del Sur. Departamento de Matemática. Instituto de Matemática Bahía Blanca; Argentina
Fil: Frutos, Mariano. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Bahía Blanca. Instituto de Investigaciones Económicas y Sociales del Sur. Universidad Nacional del Sur. Departamento de Economía. Instituto de Investigaciones Económicas y Sociales del Sur; Argentina
Fil: Broz, Diego Ricardo. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnol.conicet - Nordeste. Unidad de Adm.territorial; Argentina. Universidad Nacional de Misiones. Facultad de Ciencias Forestales; Argentina
description The separation at the source of Municipal Solid Waste (MSW) is an initiative that facilitates the subsequent recycling work and contributes to palliate the negative impacts of the traditional unsorted collection system. This paper presents a multi-objective integer linear programming model of the determination of the optimal location of assorted waste bins in an urban area. We consider, jointly, the objectives of minimizing the investment cost and the average distance from the dwellings to the bins. The model was applied in simulated instances of an Argentinian medium-size city, contributing to the transition from the current door-to-door based system to a community bins system. To solve this problem, we apply both the weighting method, which has been used to solve similar problems in the literature, and a novel version of the augmented ε-constraint method (AUGMECON2). The results over simulated scenarios show that, in general, AUGMECON2 has a better performance, yielding a larger number of efficient solutions at lower computation times.
publishDate 2017
dc.date.none.fl_str_mv 2017-03
dc.type.none.fl_str_mv info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
http://purl.org/coar/resource_type/c_6501
info:ar-repo/semantics/articulo
format article
status_str publishedVersion
dc.identifier.none.fl_str_mv http://hdl.handle.net/11336/42678
Rossit, Diego Gabriel; Tohmé, Fernando Abel; Frutos, Mariano; Broz, Diego Ricardo; An application of the augmented ε-constraint method to design a municipal sorted waste collection system; Growing Science; Decision Science Letters; 6; 4; 3-2017; 323-336
1929-5804
1929-5812
CONICET Digital
CONICET
url http://hdl.handle.net/11336/42678
identifier_str_mv Rossit, Diego Gabriel; Tohmé, Fernando Abel; Frutos, Mariano; Broz, Diego Ricardo; An application of the augmented ε-constraint method to design a municipal sorted waste collection system; Growing Science; Decision Science Letters; 6; 4; 3-2017; 323-336
1929-5804
1929-5812
CONICET Digital
CONICET
dc.language.none.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv info:eu-repo/semantics/altIdentifier/doi/10.5267/j.dsl.2017.3.001
info:eu-repo/semantics/altIdentifier/url/http://growingscience.com/beta/dsl/2518-an-application-of-the-augmented-constraint-method-to-design-a-municipal-sorted-waste-collection-system.html
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
eu_rights_str_mv openAccess
rights_invalid_str_mv https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
dc.format.none.fl_str_mv application/pdf
application/pdf
application/pdf
dc.publisher.none.fl_str_mv Growing Science
publisher.none.fl_str_mv Growing Science
dc.source.none.fl_str_mv reponame:CONICET Digital (CONICET)
instname:Consejo Nacional de Investigaciones Científicas y Técnicas
reponame_str CONICET Digital (CONICET)
collection CONICET Digital (CONICET)
instname_str Consejo Nacional de Investigaciones Científicas y Técnicas
repository.name.fl_str_mv CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicas
repository.mail.fl_str_mv dasensio@conicet.gov.ar; lcarlino@conicet.gov.ar
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score 13.13397

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