The smart waste collection routing problem: alternative operational management approaches

Detalhes bibliográficos
Autor(a) principal: Ramos, T. R. P.
Data de Publicação: 2018
Outros Autores: de Morais, C. S., Barbosa-Póvoa, A. P.
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
Texto Completo: http://hdl.handle.net/10071/15661
Resumo: Waste collection is nowadays an increasingly important business. However, it is often an inefficient op- eration due to the high uncertainty associated with the real waste bins’ fill-levels. To deal with such uncertainty the use of sensors to transmit real time information is seen as possible solution. But, in order to improve operations’ efficiency, the sensors’ usage must be combined with optimization procedures that inform on the optimal collection routes to operationalize, so as to guarantee a maximization of the waste collected while also minimizing transportation costs. The present work explores this challenge and studies three operational management approaches to define dynamic optimal routes, considering the access to real-time information on the bins’ fill-levels. A real case study is solved and important results were found where significant profit improvements are observed when compared to the real operation. This shows the potential of the proposed approaches to build an expert system, which can support the operations manager’s decisions.
id RCAP_2be748573042d0e01f1cae1a33b4c843
oai_identifier_str oai:repositorio.iscte-iul.pt:10071/15661
network_acronym_str RCAP
network_name_str Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
repository_id_str 7160
spelling The smart waste collection routing problem: alternative operational management approachesReal-time dataSensorsSmart collectionOptimizationWaste managementDynamic routingWaste collection is nowadays an increasingly important business. However, it is often an inefficient op- eration due to the high uncertainty associated with the real waste bins’ fill-levels. To deal with such uncertainty the use of sensors to transmit real time information is seen as possible solution. But, in order to improve operations’ efficiency, the sensors’ usage must be combined with optimization procedures that inform on the optimal collection routes to operationalize, so as to guarantee a maximization of the waste collected while also minimizing transportation costs. The present work explores this challenge and studies three operational management approaches to define dynamic optimal routes, considering the access to real-time information on the bins’ fill-levels. A real case study is solved and important results were found where significant profit improvements are observed when compared to the real operation. This shows the potential of the proposed approaches to build an expert system, which can support the operations manager’s decisions.Pergamon/Elsevier2018-04-19T13:36:13Z2019-10-19T00:00:00Z2018-01-01T00:00:00Z20182019-03-08T10:37:19Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleapplication/pdfhttp://hdl.handle.net/10071/15661eng0957-417410.1016/j.eswa.2018.03.001Ramos, T. R. P.de Morais, C. S.Barbosa-Póvoa, A. P.info: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:RCAAP2023-11-09T17:43:50Zoai:repositorio.iscte-iul.pt:10071/15661Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-19T22:20:41.247035Repositório 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 The smart waste collection routing problem: alternative operational management approaches
title The smart waste collection routing problem: alternative operational management approaches
spellingShingle The smart waste collection routing problem: alternative operational management approaches
Ramos, T. R. P.
Real-time data
Sensors
Smart collection
Optimization
Waste management
Dynamic routing
title_short The smart waste collection routing problem: alternative operational management approaches
title_full The smart waste collection routing problem: alternative operational management approaches
title_fullStr The smart waste collection routing problem: alternative operational management approaches
title_full_unstemmed The smart waste collection routing problem: alternative operational management approaches
title_sort The smart waste collection routing problem: alternative operational management approaches
author Ramos, T. R. P.
author_facet Ramos, T. R. P.
de Morais, C. S.
Barbosa-Póvoa, A. P.
author_role author
author2 de Morais, C. S.
Barbosa-Póvoa, A. P.
author2_role author
author
dc.contributor.author.fl_str_mv Ramos, T. R. P.
de Morais, C. S.
Barbosa-Póvoa, A. P.
dc.subject.por.fl_str_mv Real-time data
Sensors
Smart collection
Optimization
Waste management
Dynamic routing
topic Real-time data
Sensors
Smart collection
Optimization
Waste management
Dynamic routing
description Waste collection is nowadays an increasingly important business. However, it is often an inefficient op- eration due to the high uncertainty associated with the real waste bins’ fill-levels. To deal with such uncertainty the use of sensors to transmit real time information is seen as possible solution. But, in order to improve operations’ efficiency, the sensors’ usage must be combined with optimization procedures that inform on the optimal collection routes to operationalize, so as to guarantee a maximization of the waste collected while also minimizing transportation costs. The present work explores this challenge and studies three operational management approaches to define dynamic optimal routes, considering the access to real-time information on the bins’ fill-levels. A real case study is solved and important results were found where significant profit improvements are observed when compared to the real operation. This shows the potential of the proposed approaches to build an expert system, which can support the operations manager’s decisions.
publishDate 2018
dc.date.none.fl_str_mv 2018-04-19T13:36:13Z
2018-01-01T00:00:00Z
2018
2019-10-19T00:00:00Z
2019-03-08T10:37:19Z
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/10071/15661
url http://hdl.handle.net/10071/15661
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv 0957-4174
10.1016/j.eswa.2018.03.001
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 Pergamon/Elsevier
publisher.none.fl_str_mv Pergamon/Elsevier
dc.source.none.fl_str_mv reponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação
instacron:RCAAP
instname_str Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação
instacron_str RCAAP
institution RCAAP
reponame_str Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
collection Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
repository.name.fl_str_mv Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação
repository.mail.fl_str_mv
_version_ 1799134767223930880