Optimization of Wood Supply: The Forestry Routing Optimization Model
Autor(a) principal: | |
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Data de Publicação: | 2020 |
Outros Autores: | , , |
Tipo de documento: | Artigo |
Idioma: | eng |
Título da fonte: | Repositório Institucional da UFLA |
Texto Completo: | http://repositorio.ufla.br/jspui/handle/1/48175 |
Resumo: | The main purpose of this paper was to present the Forestry Routing Optimization Model (FRoM) as a version of the classical Vehicle Routing Problem (VRP). This work approaches for wood logistic problems consisting of simple displacement and multiple displacements of trucks toward the stands. The FRoM encompasses both steps into one single integer mixed linear programming model, considering cranes and trucks schedule, fleet reduction, reduction of overtime, reduction of half-load transportation, and approaching the minimum distance traveled along a fixed planning horizon. Some technique constraints were implemented to provide accurate model function. An executed real problem data was used to compare the outcomes. The objective was to carry and transport 21,881.82 tons of lumber from 10 stands using a total of 48 trucks and 5 cranes in a planning horizon of 6 days, which each day has 20 hours of effective work. The FRoM has performed a fleet reduction of 72.92%, eliminating overtime. It has reduced the half-load trips to the order of 3.17% of all routes. The crane’s analysis allowed catching points of inefficiency due to operational idleness. The FRoM provided savings of 49.12% at all logistic costs. FRoM has shown to be a good option as a route optimizer for forestry logistics. |
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Optimization of Wood Supply: The Forestry Routing Optimization ModelCombinatorial optimizationForest planningForest logisticMathematical modelingTimber transportationVehicle routing problemOtimização combinatóriaPlanejamento florestalLogística florestalModelagem matemáticaMadeira - TransporteProblema de roteamento de veículosThe main purpose of this paper was to present the Forestry Routing Optimization Model (FRoM) as a version of the classical Vehicle Routing Problem (VRP). This work approaches for wood logistic problems consisting of simple displacement and multiple displacements of trucks toward the stands. The FRoM encompasses both steps into one single integer mixed linear programming model, considering cranes and trucks schedule, fleet reduction, reduction of overtime, reduction of half-load transportation, and approaching the minimum distance traveled along a fixed planning horizon. Some technique constraints were implemented to provide accurate model function. An executed real problem data was used to compare the outcomes. The objective was to carry and transport 21,881.82 tons of lumber from 10 stands using a total of 48 trucks and 5 cranes in a planning horizon of 6 days, which each day has 20 hours of effective work. The FRoM has performed a fleet reduction of 72.92%, eliminating overtime. It has reduced the half-load trips to the order of 3.17% of all routes. The crane’s analysis allowed catching points of inefficiency due to operational idleness. The FRoM provided savings of 49.12% at all logistic costs. FRoM has shown to be a good option as a route optimizer for forestry logistics.Academia Brasileira de Ciências2021-09-20T18:38:07Z2021-09-20T18:38:07Z2020-11info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleapplication/pdfMONTI, C. A. U. et al. Optimization of Wood Supply: The Forestry Routing Optimization Model. Anais da Academia Brasileira de Ciências, Rio de Janeiro, v. 92, n. 3, e20200263, 2020. DOI: 10.1590/0001-3765202020200263.http://repositorio.ufla.br/jspui/handle/1/48175Anais da Academia Brasileira de Ciências / Annals of the Brazilian Academy of Sciencesreponame:Repositório Institucional da UFLAinstname:Universidade Federal de Lavras (UFLA)instacron:UFLAhttp://creativecommons.org/licenses/by/4.0/info:eu-repo/semantics/openAccessMonti, Cassio A. U.Gomide, Lucas R.Oliveira, Rafael M.França, Luciano C. J.eng2021-09-20T18:42:32Zoai:localhost:1/48175Repositório InstitucionalPUBhttp://repositorio.ufla.br/oai/requestnivaldo@ufla.br || repositorio.biblioteca@ufla.bropendoar:2021-09-20T18:42:32Repositório Institucional da UFLA - Universidade Federal de Lavras (UFLA)false |
dc.title.none.fl_str_mv |
Optimization of Wood Supply: The Forestry Routing Optimization Model |
title |
Optimization of Wood Supply: The Forestry Routing Optimization Model |
spellingShingle |
Optimization of Wood Supply: The Forestry Routing Optimization Model Monti, Cassio A. U. Combinatorial optimization Forest planning Forest logistic Mathematical modeling Timber transportation Vehicle routing problem Otimização combinatória Planejamento florestal Logística florestal Modelagem matemática Madeira - Transporte Problema de roteamento de veículos |
title_short |
Optimization of Wood Supply: The Forestry Routing Optimization Model |
title_full |
Optimization of Wood Supply: The Forestry Routing Optimization Model |
title_fullStr |
Optimization of Wood Supply: The Forestry Routing Optimization Model |
title_full_unstemmed |
Optimization of Wood Supply: The Forestry Routing Optimization Model |
title_sort |
Optimization of Wood Supply: The Forestry Routing Optimization Model |
author |
Monti, Cassio A. U. |
author_facet |
Monti, Cassio A. U. Gomide, Lucas R. Oliveira, Rafael M. França, Luciano C. J. |
author_role |
author |
author2 |
Gomide, Lucas R. Oliveira, Rafael M. França, Luciano C. J. |
author2_role |
author author author |
dc.contributor.author.fl_str_mv |
Monti, Cassio A. U. Gomide, Lucas R. Oliveira, Rafael M. França, Luciano C. J. |
dc.subject.por.fl_str_mv |
Combinatorial optimization Forest planning Forest logistic Mathematical modeling Timber transportation Vehicle routing problem Otimização combinatória Planejamento florestal Logística florestal Modelagem matemática Madeira - Transporte Problema de roteamento de veículos |
topic |
Combinatorial optimization Forest planning Forest logistic Mathematical modeling Timber transportation Vehicle routing problem Otimização combinatória Planejamento florestal Logística florestal Modelagem matemática Madeira - Transporte Problema de roteamento de veículos |
description |
The main purpose of this paper was to present the Forestry Routing Optimization Model (FRoM) as a version of the classical Vehicle Routing Problem (VRP). This work approaches for wood logistic problems consisting of simple displacement and multiple displacements of trucks toward the stands. The FRoM encompasses both steps into one single integer mixed linear programming model, considering cranes and trucks schedule, fleet reduction, reduction of overtime, reduction of half-load transportation, and approaching the minimum distance traveled along a fixed planning horizon. Some technique constraints were implemented to provide accurate model function. An executed real problem data was used to compare the outcomes. The objective was to carry and transport 21,881.82 tons of lumber from 10 stands using a total of 48 trucks and 5 cranes in a planning horizon of 6 days, which each day has 20 hours of effective work. The FRoM has performed a fleet reduction of 72.92%, eliminating overtime. It has reduced the half-load trips to the order of 3.17% of all routes. The crane’s analysis allowed catching points of inefficiency due to operational idleness. The FRoM provided savings of 49.12% at all logistic costs. FRoM has shown to be a good option as a route optimizer for forestry logistics. |
publishDate |
2020 |
dc.date.none.fl_str_mv |
2020-11 2021-09-20T18:38:07Z 2021-09-20T18:38:07Z |
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 |
MONTI, C. A. U. et al. Optimization of Wood Supply: The Forestry Routing Optimization Model. Anais da Academia Brasileira de Ciências, Rio de Janeiro, v. 92, n. 3, e20200263, 2020. DOI: 10.1590/0001-3765202020200263. http://repositorio.ufla.br/jspui/handle/1/48175 |
identifier_str_mv |
MONTI, C. A. U. et al. Optimization of Wood Supply: The Forestry Routing Optimization Model. Anais da Academia Brasileira de Ciências, Rio de Janeiro, v. 92, n. 3, e20200263, 2020. DOI: 10.1590/0001-3765202020200263. |
url |
http://repositorio.ufla.br/jspui/handle/1/48175 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.rights.driver.fl_str_mv |
http://creativecommons.org/licenses/by/4.0/ info:eu-repo/semantics/openAccess |
rights_invalid_str_mv |
http://creativecommons.org/licenses/by/4.0/ |
eu_rights_str_mv |
openAccess |
dc.format.none.fl_str_mv |
application/pdf |
dc.publisher.none.fl_str_mv |
Academia Brasileira de Ciências |
publisher.none.fl_str_mv |
Academia Brasileira de Ciências |
dc.source.none.fl_str_mv |
Anais da Academia Brasileira de Ciências / Annals of the Brazilian Academy of Sciences reponame:Repositório Institucional da UFLA instname:Universidade Federal de Lavras (UFLA) instacron:UFLA |
instname_str |
Universidade Federal de Lavras (UFLA) |
instacron_str |
UFLA |
institution |
UFLA |
reponame_str |
Repositório Institucional da UFLA |
collection |
Repositório Institucional da UFLA |
repository.name.fl_str_mv |
Repositório Institucional da UFLA - Universidade Federal de Lavras (UFLA) |
repository.mail.fl_str_mv |
nivaldo@ufla.br || repositorio.biblioteca@ufla.br |
_version_ |
1807835092479901696 |