Arc routing with trip-balancing and attractiveness measures : A waste collection case study

Detalhes bibliográficos
Autor(a) principal: Janela, João
Data de Publicação: 2022
Outros Autores: Mourão, M. Cândida, Pinto, Leonor S.
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
Texto Completo: http://hdl.handle.net/10400.5/27972
Resumo: This work focuses on a household (or door to door) waste collection problem in the Portuguese municipality of Seixal, which is modelled as a generalisation of a mixed capacitated arc routing problem (MCARP). The MCARP is known to be NP-hard. The proposed methodology uses: i) a GIS (geographic information system), for input/output and to reduce problem dimensions; ii) a matheuristic that iteratively solves a new hybrid model; and iii) two versions of a two-phase matheuristic. The latter pursues the generation of connected and compacted trips. During the first phase, called initial assignment, some links requiring service are assigned to vehicle services. In the second phase, the hybrid model finishes the assignment and generates a feasible set of trips. The quality of the generated solutions is assessed through the total time, as well as by some attractiveness measures. These measures evaluate the adequacy of the solutions for the real case-study, a crucial aspect for trips that need to be accepted by practitioners. With this purpose, a new attractiveness measure that introduces space dependent penalisation of overlaps, named weighted hull overlap, is also proposed. Computational results with 18 Seixal instances, with 265–1223 nodes and 492–2254 links, point to the good performance of the proposed.
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spelling Arc routing with trip-balancing and attractiveness measures : A waste collection case studyMixed Capacitated Arc RoutingMatheuristicsMixed Integer Linear ModelGISAttractiveness MeasureThis work focuses on a household (or door to door) waste collection problem in the Portuguese municipality of Seixal, which is modelled as a generalisation of a mixed capacitated arc routing problem (MCARP). The MCARP is known to be NP-hard. The proposed methodology uses: i) a GIS (geographic information system), for input/output and to reduce problem dimensions; ii) a matheuristic that iteratively solves a new hybrid model; and iii) two versions of a two-phase matheuristic. The latter pursues the generation of connected and compacted trips. During the first phase, called initial assignment, some links requiring service are assigned to vehicle services. In the second phase, the hybrid model finishes the assignment and generates a feasible set of trips. The quality of the generated solutions is assessed through the total time, as well as by some attractiveness measures. These measures evaluate the adequacy of the solutions for the real case-study, a crucial aspect for trips that need to be accepted by practitioners. With this purpose, a new attractiveness measure that introduces space dependent penalisation of overlaps, named weighted hull overlap, is also proposed. Computational results with 18 Seixal instances, with 265–1223 nodes and 492–2254 links, point to the good performance of the proposed.ElsevierRepositório da Universidade de LisboaJanela, JoãoMourão, M. CândidaPinto, Leonor S.2023-07-04T09:14:23Z20222022-01-01T00:00:00Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleapplication/pdfhttp://hdl.handle.net/10400.5/27972engJanela, João; M. Cândida Mourão and Leonor S. Pinto .(2022). “Arc routing with trip-balancing and attractiveness measures : A waste collection case study”. Computers & Operations Research, Volume 147, Nov. 2022: 105934. (Search PDF in 2023).0305-054810.1016/j.cor.2022.105934info:eu-repo/semantics/openAccessreponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãoinstacron:RCAAP2023-07-09T01:30:27Zoai:www.repository.utl.pt:10400.5/27972Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-19T18:02:51.738465Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãofalse
dc.title.none.fl_str_mv Arc routing with trip-balancing and attractiveness measures : A waste collection case study
title Arc routing with trip-balancing and attractiveness measures : A waste collection case study
spellingShingle Arc routing with trip-balancing and attractiveness measures : A waste collection case study
Janela, João
Mixed Capacitated Arc Routing
Matheuristics
Mixed Integer Linear Model
GIS
Attractiveness Measure
title_short Arc routing with trip-balancing and attractiveness measures : A waste collection case study
title_full Arc routing with trip-balancing and attractiveness measures : A waste collection case study
title_fullStr Arc routing with trip-balancing and attractiveness measures : A waste collection case study
title_full_unstemmed Arc routing with trip-balancing and attractiveness measures : A waste collection case study
title_sort Arc routing with trip-balancing and attractiveness measures : A waste collection case study
author Janela, João
author_facet Janela, João
Mourão, M. Cândida
Pinto, Leonor S.
author_role author
author2 Mourão, M. Cândida
Pinto, Leonor S.
author2_role author
author
dc.contributor.none.fl_str_mv Repositório da Universidade de Lisboa
dc.contributor.author.fl_str_mv Janela, João
Mourão, M. Cândida
Pinto, Leonor S.
dc.subject.por.fl_str_mv Mixed Capacitated Arc Routing
Matheuristics
Mixed Integer Linear Model
GIS
Attractiveness Measure
topic Mixed Capacitated Arc Routing
Matheuristics
Mixed Integer Linear Model
GIS
Attractiveness Measure
description This work focuses on a household (or door to door) waste collection problem in the Portuguese municipality of Seixal, which is modelled as a generalisation of a mixed capacitated arc routing problem (MCARP). The MCARP is known to be NP-hard. The proposed methodology uses: i) a GIS (geographic information system), for input/output and to reduce problem dimensions; ii) a matheuristic that iteratively solves a new hybrid model; and iii) two versions of a two-phase matheuristic. The latter pursues the generation of connected and compacted trips. During the first phase, called initial assignment, some links requiring service are assigned to vehicle services. In the second phase, the hybrid model finishes the assignment and generates a feasible set of trips. The quality of the generated solutions is assessed through the total time, as well as by some attractiveness measures. These measures evaluate the adequacy of the solutions for the real case-study, a crucial aspect for trips that need to be accepted by practitioners. With this purpose, a new attractiveness measure that introduces space dependent penalisation of overlaps, named weighted hull overlap, is also proposed. Computational results with 18 Seixal instances, with 265–1223 nodes and 492–2254 links, point to the good performance of the proposed.
publishDate 2022
dc.date.none.fl_str_mv 2022
2022-01-01T00:00:00Z
2023-07-04T09:14:23Z
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
format article
status_str publishedVersion
dc.identifier.uri.fl_str_mv http://hdl.handle.net/10400.5/27972
url http://hdl.handle.net/10400.5/27972
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv Janela, João; M. Cândida Mourão and Leonor S. Pinto .(2022). “Arc routing with trip-balancing and attractiveness measures : A waste collection case study”. Computers & Operations Research, Volume 147, Nov. 2022: 105934. (Search PDF in 2023).
0305-0548
10.1016/j.cor.2022.105934
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
dc.publisher.none.fl_str_mv Elsevier
publisher.none.fl_str_mv Elsevier
dc.source.none.fl_str_mv reponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
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collection Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
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