Otimização de rotas dos caminhões de coleta de resíduos sólidos urbanos

Detalhes bibliográficos
Autor(a) principal: Vecchi, Thelma Pretel Brandão
Data de Publicação: 2016
Tipo de documento: Tese
Idioma: por
Título da fonte: Repositório Institucional da Universidade Estadual de Maringá (RI-UEM)
Texto Completo: http://repositorio.uem.br:8080/jspui/handle/1/3664
Resumo: The process of collecting municipal solid waste is important in modern society, but it consumes many resources of Brazilian municipalities. This work aims to develop a system that optimizes the collection routes carried by trucks. This optimization aims to reduce the distance traveled and the emission of pollutants from trucks. Mathematically, this is a combinatorial optimization problem that presents a large number of variables and constraints, which often hinders their solution. In this work it was developed two different approaches that involve mathematical modeling: first it was considered a model of Mixed Integer Linear Programming (MILP), known as a Vehicle Routing Problem (VRP) and classified as a Node Routing Problem (NRP). Then it was developed a sequential three-step approach. The first stage performs the grouping of the arcs (streets channel) that must be attended by the trucks, based on an adapted model of the P-median problem, a Binary Integer Linear Programming (BILP) problem. In the second phase applies a model for the Capacitated Arc Routing Problem (CARP), formulated as a problem of MILP and classified as an Arc Routing Problem (ARP). In the third phase, applies an algorithm that has been adapted from Hierholzer algorithm to obtain the itinerary of the vehicles. The two developed approaches have been applied to data from the central region of a Brazilian city with about 93,000 inhabitants, which allowed workable solutions, in good computational time. The results from the approach that uses the VRP allowed a reduction of approximately 32% in total distance traveled and a savings of about US$ 230.00 per day. The sequential approach was applied to two situations: undifferentiated collection of waste and selective collection. For undifferentiated collection, the results of the sequential approach allowed a reduction of 1.5% in total distance traveled and a savings of about US$ 3200.00/year. For the selective collection, the results of the sequential approach allowed a reduction of 7.5% in the total distance traveled and savings of approximately US$ 4000.00/year. The optimized routes from the sequential approach to the undifferentiated collection and to the selective collection also enable an annual reduction of pollutant emissions into the atmosphere by the collection trucks, of about: 780 gpoluttants of CO, 150 gpoluttants of NMHC, 1700 gpoluttants of NOx, 20 gpoluttants of PM (particulate material), 45 gpoluttants of CH4 and 915 kg of CO2.
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spelling Otimização de rotas dos caminhões de coleta de resíduos sólidos urbanosRoute optimization of collection trucks of municipal solid wasteEngenharia químicaColeta de resíduos sólidosRotasOtimizaçãoRoteamento de veículosOtimização de rotasProblema de roteamento de veículosProblema de roteamento em arcos capacitadosBrasil.Route optimizationVehicle routing problemCapacitated arc routing problemSolid waste collectionBrazil.EngenhariasEngenharia QuímicaThe process of collecting municipal solid waste is important in modern society, but it consumes many resources of Brazilian municipalities. This work aims to develop a system that optimizes the collection routes carried by trucks. This optimization aims to reduce the distance traveled and the emission of pollutants from trucks. Mathematically, this is a combinatorial optimization problem that presents a large number of variables and constraints, which often hinders their solution. In this work it was developed two different approaches that involve mathematical modeling: first it was considered a model of Mixed Integer Linear Programming (MILP), known as a Vehicle Routing Problem (VRP) and classified as a Node Routing Problem (NRP). Then it was developed a sequential three-step approach. The first stage performs the grouping of the arcs (streets channel) that must be attended by the trucks, based on an adapted model of the P-median problem, a Binary Integer Linear Programming (BILP) problem. In the second phase applies a model for the Capacitated Arc Routing Problem (CARP), formulated as a problem of MILP and classified as an Arc Routing Problem (ARP). In the third phase, applies an algorithm that has been adapted from Hierholzer algorithm to obtain the itinerary of the vehicles. The two developed approaches have been applied to data from the central region of a Brazilian city with about 93,000 inhabitants, which allowed workable solutions, in good computational time. The results from the approach that uses the VRP allowed a reduction of approximately 32% in total distance traveled and a savings of about US$ 230.00 per day. The sequential approach was applied to two situations: undifferentiated collection of waste and selective collection. For undifferentiated collection, the results of the sequential approach allowed a reduction of 1.5% in total distance traveled and a savings of about US$ 3200.00/year. For the selective collection, the results of the sequential approach allowed a reduction of 7.5% in the total distance traveled and savings of approximately US$ 4000.00/year. The optimized routes from the sequential approach to the undifferentiated collection and to the selective collection also enable an annual reduction of pollutant emissions into the atmosphere by the collection trucks, of about: 780 gpoluttants of CO, 150 gpoluttants of NMHC, 1700 gpoluttants of NOx, 20 gpoluttants of PM (particulate material), 45 gpoluttants of CH4 and 915 kg of CO2.O processo de coleta de resíduos sólidos urbanos é importante na sociedade moderna, porém consome muitos recursos das prefeituras brasileiras. Assim, este trabalho tem como objetivo desenvolver um sistema que otimize as rotas de coleta executadas pelos caminhões. Esta otimização visa a redução da distância percorrida e a emissão de poluentes pelos caminhões. Matematicamente, esse é um problema de otimização combinatória que apresenta um grande número de variáveis e restrições, o que muitas vezes dificulta a sua solução. Neste trabalho foram desenvolvidas duas abordagens diferentes que envolvem modelagem matemática: primeiramente considerou-se um modelo de Programação Linear Inteira Mista (PLIM), conhecido como um Problema de Roteamento de Veículos (PRV) e classificado como um Problema de Roteamento em Nós (PRN). Em seguida, desenvolveu-se uma abordagem sequencial em três fases. A primeira fase realiza o agrupamento dos arcos (trechos das ruas) que devem ser atendidos pelos caminhões, com base em um modelo adaptado do Problema das P-medianas, problema de Programação Linear Inteira Binária (PLIB). Na segunda fase, aplica-se um modelo para o Problema de Roteamento em Arcos Capacitados (Capacitated Arc Routing Problem - CARP), formulado como um problema de PLIM, classificado como um Problema de Roteamento em Arcos (PRA). Na terceira fase, utiliza-se de um algoritmo adaptado do algoritmo de Hierholzer para obter o roteiro dos veículos. As duas abordagens desenvolvidas foram aplicadas aos dados da região central de uma cidade brasileira com aproximadamente 93.000 habitantes e permitiram soluções viáveis, em bom tempo computacional. Os resultados obtidos a partir da abordagem que utiliza o PRV permitiram uma redução de, aproximadamente, 32% na distância total percorrida e uma economia de cerca de US$ 230,00 por dia. A abordagem sequencial foi aplicada a duas situações: coleta indiferenciada dos resíduos e coleta seletiva. Para a coleta indiferenciada, os resultados da abordagem sequencial permitiram uma redução de 1,5% na distância total percorrida e uma economia de cerca de US$ 3200,00/ano, Para a coleta seletiva, os resultados da abordagem sequencial permitiram uma redução de 7,5% na distância total percorrida e uma economia de aproximadamente US$ 4000,00/ano. As rotas otimizadas a partir da abordagem sequencial para a coleta indiferenciada e para a coleta seletiva também permitem uma redução anual das emissões de poluentes na atmosfera pelos caminhões de coleta, de cerca de: 780 gpoluentes de CO, 150 gpoluentes de NMHC, 1.700 gpoluentes de NOx, 20 gpoluentes de MP, 45 gpoluentes de CH4 e 915kg de CO2.1 CD-ROM (xvi, 136 f.)Universidade Estadual de MaringáBrasilDepartamento de Engenharia QuímicaPrograma de Pós-Graduação em Engenharia QuímicaUEMMaringá, PRCentro de TecnologiaPaulo Roberto ParaísoLuiz Mario de Matos Jorge - UEMMauro Antônio da Silva Sá Ravagnani - UEMSolange Regina dos Santos - UNESPARAdemir Aparecido Constantino - UEMVecchi, Thelma Pretel Brandão2018-04-17T17:39:55Z2018-04-17T17:39:55Z2016info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/doctoralThesishttp://repositorio.uem.br:8080/jspui/handle/1/3664porinfo:eu-repo/semantics/openAccessreponame:Repositório Institucional da Universidade Estadual de Maringá (RI-UEM)instname:Universidade Estadual de Maringá (UEM)instacron:UEM2018-10-15T18:03:46Zoai:localhost:1/3664Repositório InstitucionalPUBhttp://repositorio.uem.br:8080/oai/requestopendoar:2024-04-23T14:56:48.758072Repositório Institucional da Universidade Estadual de Maringá (RI-UEM) - Universidade Estadual de Maringá (UEM)false
dc.title.none.fl_str_mv Otimização de rotas dos caminhões de coleta de resíduos sólidos urbanos
Route optimization of collection trucks of municipal solid waste
title Otimização de rotas dos caminhões de coleta de resíduos sólidos urbanos
spellingShingle Otimização de rotas dos caminhões de coleta de resíduos sólidos urbanos
Vecchi, Thelma Pretel Brandão
Engenharia química
Coleta de resíduos sólidos
Rotas
Otimização
Roteamento de veículos
Otimização de rotas
Problema de roteamento de veículos
Problema de roteamento em arcos capacitados
Brasil.
Route optimization
Vehicle routing problem
Capacitated arc routing problem
Solid waste collection
Brazil.
Engenharias
Engenharia Química
title_short Otimização de rotas dos caminhões de coleta de resíduos sólidos urbanos
title_full Otimização de rotas dos caminhões de coleta de resíduos sólidos urbanos
title_fullStr Otimização de rotas dos caminhões de coleta de resíduos sólidos urbanos
title_full_unstemmed Otimização de rotas dos caminhões de coleta de resíduos sólidos urbanos
title_sort Otimização de rotas dos caminhões de coleta de resíduos sólidos urbanos
author Vecchi, Thelma Pretel Brandão
author_facet Vecchi, Thelma Pretel Brandão
author_role author
dc.contributor.none.fl_str_mv Paulo Roberto Paraíso
Luiz Mario de Matos Jorge - UEM
Mauro Antônio da Silva Sá Ravagnani - UEM
Solange Regina dos Santos - UNESPAR
Ademir Aparecido Constantino - UEM
dc.contributor.author.fl_str_mv Vecchi, Thelma Pretel Brandão
dc.subject.por.fl_str_mv Engenharia química
Coleta de resíduos sólidos
Rotas
Otimização
Roteamento de veículos
Otimização de rotas
Problema de roteamento de veículos
Problema de roteamento em arcos capacitados
Brasil.
Route optimization
Vehicle routing problem
Capacitated arc routing problem
Solid waste collection
Brazil.
Engenharias
Engenharia Química
topic Engenharia química
Coleta de resíduos sólidos
Rotas
Otimização
Roteamento de veículos
Otimização de rotas
Problema de roteamento de veículos
Problema de roteamento em arcos capacitados
Brasil.
Route optimization
Vehicle routing problem
Capacitated arc routing problem
Solid waste collection
Brazil.
Engenharias
Engenharia Química
description The process of collecting municipal solid waste is important in modern society, but it consumes many resources of Brazilian municipalities. This work aims to develop a system that optimizes the collection routes carried by trucks. This optimization aims to reduce the distance traveled and the emission of pollutants from trucks. Mathematically, this is a combinatorial optimization problem that presents a large number of variables and constraints, which often hinders their solution. In this work it was developed two different approaches that involve mathematical modeling: first it was considered a model of Mixed Integer Linear Programming (MILP), known as a Vehicle Routing Problem (VRP) and classified as a Node Routing Problem (NRP). Then it was developed a sequential three-step approach. The first stage performs the grouping of the arcs (streets channel) that must be attended by the trucks, based on an adapted model of the P-median problem, a Binary Integer Linear Programming (BILP) problem. In the second phase applies a model for the Capacitated Arc Routing Problem (CARP), formulated as a problem of MILP and classified as an Arc Routing Problem (ARP). In the third phase, applies an algorithm that has been adapted from Hierholzer algorithm to obtain the itinerary of the vehicles. The two developed approaches have been applied to data from the central region of a Brazilian city with about 93,000 inhabitants, which allowed workable solutions, in good computational time. The results from the approach that uses the VRP allowed a reduction of approximately 32% in total distance traveled and a savings of about US$ 230.00 per day. The sequential approach was applied to two situations: undifferentiated collection of waste and selective collection. For undifferentiated collection, the results of the sequential approach allowed a reduction of 1.5% in total distance traveled and a savings of about US$ 3200.00/year. For the selective collection, the results of the sequential approach allowed a reduction of 7.5% in the total distance traveled and savings of approximately US$ 4000.00/year. The optimized routes from the sequential approach to the undifferentiated collection and to the selective collection also enable an annual reduction of pollutant emissions into the atmosphere by the collection trucks, of about: 780 gpoluttants of CO, 150 gpoluttants of NMHC, 1700 gpoluttants of NOx, 20 gpoluttants of PM (particulate material), 45 gpoluttants of CH4 and 915 kg of CO2.
publishDate 2016
dc.date.none.fl_str_mv 2016
2018-04-17T17:39:55Z
2018-04-17T17:39:55Z
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
dc.type.driver.fl_str_mv info:eu-repo/semantics/doctoralThesis
format doctoralThesis
status_str publishedVersion
dc.identifier.uri.fl_str_mv http://repositorio.uem.br:8080/jspui/handle/1/3664
url http://repositorio.uem.br:8080/jspui/handle/1/3664
dc.language.iso.fl_str_mv por
language por
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.publisher.none.fl_str_mv Universidade Estadual de Maringá
Brasil
Departamento de Engenharia Química
Programa de Pós-Graduação em Engenharia Química
UEM
Maringá, PR
Centro de Tecnologia
publisher.none.fl_str_mv Universidade Estadual de Maringá
Brasil
Departamento de Engenharia Química
Programa de Pós-Graduação em Engenharia Química
UEM
Maringá, PR
Centro de Tecnologia
dc.source.none.fl_str_mv reponame:Repositório Institucional da Universidade Estadual de Maringá (RI-UEM)
instname:Universidade Estadual de Maringá (UEM)
instacron:UEM
instname_str Universidade Estadual de Maringá (UEM)
instacron_str UEM
institution UEM
reponame_str Repositório Institucional da Universidade Estadual de Maringá (RI-UEM)
collection Repositório Institucional da Universidade Estadual de Maringá (RI-UEM)
repository.name.fl_str_mv Repositório Institucional da Universidade Estadual de Maringá (RI-UEM) - Universidade Estadual de Maringá (UEM)
repository.mail.fl_str_mv
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