A bi-objective modeling approach applied to an urban semi-desirable facility location problem
Autor(a) principal: | |
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Data de Publicação: | 2012 |
Outros Autores: | , |
Tipo de documento: | Artigo |
Idioma: | eng |
Título da fonte: | Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
Texto Completo: | http://hdl.handle.net/10316/24814 https://doi.org/10.1016/j.ejor.2012.05.037 |
Resumo: | This paper introduces a mixed-integer, bi-objective programming approach to identify the locations and capacities of semi-desirable (or semi-obnoxious) facilities. The first objective minimizes the total investment cost; the second one minimizes the dissatisfaction by incorporating together in the same function “pull” and “push” characteristics of the decision problem (individuals do not want to live too close, but they do not want to be too far, from facilities). The model determines the number of facilities to be opened, the respective capacities, their locations, their respective shares of the total demand, and the population that is assigned to each candidate site opened. The proposed approach was tested with a case study for a particular urban planning problem: the location of sorted waste containers. The complete set of (supported or unsupported) non-inferior solutions, consisting of combinations of multi-compartment containers for the disposal of four types of sorted waste in nineteen candidate sites, and population assignments, was generated. The results obtained for part of the historical center of an old European city (Coimbra, Portugal) show that this approach can be applied to a real-world planning scenario. |
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A bi-objective modeling approach applied to an urban semi-desirable facility location problemCombinatorial optimizationMultiple objective modelingFacility locationSemi-obnoxious facilityUrban facilities planningWaste managementThis paper introduces a mixed-integer, bi-objective programming approach to identify the locations and capacities of semi-desirable (or semi-obnoxious) facilities. The first objective minimizes the total investment cost; the second one minimizes the dissatisfaction by incorporating together in the same function “pull” and “push” characteristics of the decision problem (individuals do not want to live too close, but they do not want to be too far, from facilities). The model determines the number of facilities to be opened, the respective capacities, their locations, their respective shares of the total demand, and the population that is assigned to each candidate site opened. The proposed approach was tested with a case study for a particular urban planning problem: the location of sorted waste containers. The complete set of (supported or unsupported) non-inferior solutions, consisting of combinations of multi-compartment containers for the disposal of four types of sorted waste in nineteen candidate sites, and population assignments, was generated. The results obtained for part of the historical center of an old European city (Coimbra, Portugal) show that this approach can be applied to a real-world planning scenario.Elsevier2012-11info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articlehttp://hdl.handle.net/10316/24814http://hdl.handle.net/10316/24814https://doi.org/10.1016/j.ejor.2012.05.037engCOUTINHO-RODRIGUES, João; TRALHÃO, Lino; ALÇADA-ALMEIDA, Luís - A bi-objective modeling approach applied to an urban semi-desirable facility location problem. "European Journal of Operational Research". ISSN 0377-2217. 223:1 (2012) 203-2130377-2217http://www.sciencedirect.com/science/journal/03772217Coutinho-Rodrigues, JoãoTralhão, LinoAlçada-Almeida, Luísinfo: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:RCAAP2021-11-05T09:27:07Zoai:estudogeral.uc.pt:10316/24814Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-19T20:57:17.320762Repositório 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 |
A bi-objective modeling approach applied to an urban semi-desirable facility location problem |
title |
A bi-objective modeling approach applied to an urban semi-desirable facility location problem |
spellingShingle |
A bi-objective modeling approach applied to an urban semi-desirable facility location problem Coutinho-Rodrigues, João Combinatorial optimization Multiple objective modeling Facility location Semi-obnoxious facility Urban facilities planning Waste management |
title_short |
A bi-objective modeling approach applied to an urban semi-desirable facility location problem |
title_full |
A bi-objective modeling approach applied to an urban semi-desirable facility location problem |
title_fullStr |
A bi-objective modeling approach applied to an urban semi-desirable facility location problem |
title_full_unstemmed |
A bi-objective modeling approach applied to an urban semi-desirable facility location problem |
title_sort |
A bi-objective modeling approach applied to an urban semi-desirable facility location problem |
author |
Coutinho-Rodrigues, João |
author_facet |
Coutinho-Rodrigues, João Tralhão, Lino Alçada-Almeida, Luís |
author_role |
author |
author2 |
Tralhão, Lino Alçada-Almeida, Luís |
author2_role |
author author |
dc.contributor.author.fl_str_mv |
Coutinho-Rodrigues, João Tralhão, Lino Alçada-Almeida, Luís |
dc.subject.por.fl_str_mv |
Combinatorial optimization Multiple objective modeling Facility location Semi-obnoxious facility Urban facilities planning Waste management |
topic |
Combinatorial optimization Multiple objective modeling Facility location Semi-obnoxious facility Urban facilities planning Waste management |
description |
This paper introduces a mixed-integer, bi-objective programming approach to identify the locations and capacities of semi-desirable (or semi-obnoxious) facilities. The first objective minimizes the total investment cost; the second one minimizes the dissatisfaction by incorporating together in the same function “pull” and “push” characteristics of the decision problem (individuals do not want to live too close, but they do not want to be too far, from facilities). The model determines the number of facilities to be opened, the respective capacities, their locations, their respective shares of the total demand, and the population that is assigned to each candidate site opened. The proposed approach was tested with a case study for a particular urban planning problem: the location of sorted waste containers. The complete set of (supported or unsupported) non-inferior solutions, consisting of combinations of multi-compartment containers for the disposal of four types of sorted waste in nineteen candidate sites, and population assignments, was generated. The results obtained for part of the historical center of an old European city (Coimbra, Portugal) show that this approach can be applied to a real-world planning scenario. |
publishDate |
2012 |
dc.date.none.fl_str_mv |
2012-11 |
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/10316/24814 http://hdl.handle.net/10316/24814 https://doi.org/10.1016/j.ejor.2012.05.037 |
url |
http://hdl.handle.net/10316/24814 https://doi.org/10.1016/j.ejor.2012.05.037 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
COUTINHO-RODRIGUES, João; TRALHÃO, Lino; ALÇADA-ALMEIDA, Luís - A bi-objective modeling approach applied to an urban semi-desirable facility location problem. "European Journal of Operational Research". ISSN 0377-2217. 223:1 (2012) 203-213 0377-2217 http://www.sciencedirect.com/science/journal/03772217 |
dc.rights.driver.fl_str_mv |
info:eu-repo/semantics/openAccess |
eu_rights_str_mv |
openAccess |
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) instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação instacron:RCAAP |
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Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação |
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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 |
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1799133860648189952 |