Optimization of Wood Supply: The Forestry Routing Optimization Model

Detalhes bibliográficos
Autor(a) principal: MONTI,CASSIO A.U.
Data de Publicação: 2020
Outros Autores: GOMIDE,LUCAS R., OLIVEIRA,RAFAEL M., FRANÇA,LUCIANO C.J.
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Anais da Academia Brasileira de Ciências (Online)
Texto Completo: http://old.scielo.br/scielo.php?script=sci_arttext&pid=S0001-37652020000501017
Resumo: Abstract 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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spelling Optimization of Wood Supply: The Forestry Routing Optimization Modelcombinatorial optimizationforest planningforest logisticmathematical modelingtimber transportationvehicle routing problemAbstract 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.Academia Brasileira de Ciências2020-01-01info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersiontext/htmlhttp://old.scielo.br/scielo.php?script=sci_arttext&pid=S0001-37652020000501017Anais da Academia Brasileira de Ciências v.92 n.3 2020reponame:Anais da Academia Brasileira de Ciências (Online)instname:Academia Brasileira de Ciências (ABC)instacron:ABC10.1590/0001-3765202020200263info:eu-repo/semantics/openAccessMONTI,CASSIO A.U.GOMIDE,LUCAS R.OLIVEIRA,RAFAEL M.FRANÇA,LUCIANO C.J.eng2020-11-05T00:00:00Zoai:scielo:S0001-37652020000501017Revistahttp://www.scielo.br/aabchttps://old.scielo.br/oai/scielo-oai.php||aabc@abc.org.br1678-26900001-3765opendoar:2020-11-05T00:00Anais da Academia Brasileira de Ciências (Online) - Academia Brasileira de Ciências (ABC)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
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
topic combinatorial optimization
forest planning
forest logistic
mathematical modeling
timber transportation
vehicle routing problem
description Abstract 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 2020-01-01
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
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dc.identifier.uri.fl_str_mv http://old.scielo.br/scielo.php?script=sci_arttext&pid=S0001-37652020000501017
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dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv 10.1590/0001-3765202020200263
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
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dc.format.none.fl_str_mv text/html
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 v.92 n.3 2020
reponame:Anais da Academia Brasileira de Ciências (Online)
instname:Academia Brasileira de Ciências (ABC)
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instname_str Academia Brasileira de Ciências (ABC)
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reponame_str Anais da Academia Brasileira de Ciências (Online)
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repository.name.fl_str_mv Anais da Academia Brasileira de Ciências (Online) - Academia Brasileira de Ciências (ABC)
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