Development of Mathematical Programming Model for Cable Logging System Location

Detalhes bibliográficos
Autor(a) principal: Rudek,Alynne
Data de Publicação: 2019
Outros Autores: Lopes,Eduardo da Silva, Arce,Julio Eduardo, Oliveira Filho,Paulo Costa de
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Floresta e Ambiente
Texto Completo: http://old.scielo.br/scielo.php?script=sci_arttext&pid=S2179-80872019000100112
Resumo: ABSTRACT Defining the optimum points for installing of a cable logging system is a problem faced by forestry planners. This study evaluated the application of a mathematical programming model for optimal location of cable logging in wood extraction. The study was conducted in a forestry company located in Parana State, Brazil. We collected data during timber harvesting and developed mathematical models to define the optimal location of the cable logging considering the variables “cycle time” and “extraction distance”. The variable “cycle time” affected the definition of the optimal location of equipment resulted in a reduced number of installation points with the largest coverage area. The variable “distance extraction” negatively influenced the location, with an increased number of installation points with smaller coverage. The developed model was efficient, but needs to be improved in order to ensure greater accuracy in wood extraction over long distances.
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spelling Development of Mathematical Programming Model for Cable Logging System Locationforest extractionproductivityplanningoptimizationABSTRACT Defining the optimum points for installing of a cable logging system is a problem faced by forestry planners. This study evaluated the application of a mathematical programming model for optimal location of cable logging in wood extraction. The study was conducted in a forestry company located in Parana State, Brazil. We collected data during timber harvesting and developed mathematical models to define the optimal location of the cable logging considering the variables “cycle time” and “extraction distance”. The variable “cycle time” affected the definition of the optimal location of equipment resulted in a reduced number of installation points with the largest coverage area. The variable “distance extraction” negatively influenced the location, with an increased number of installation points with smaller coverage. The developed model was efficient, but needs to be improved in order to ensure greater accuracy in wood extraction over long distances.Instituto de Florestas da Universidade Federal Rural do Rio de Janeiro2019-01-01info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersiontext/htmlhttp://old.scielo.br/scielo.php?script=sci_arttext&pid=S2179-80872019000100112Floresta e Ambiente v.26 n.1 2019reponame:Floresta e Ambienteinstname:Universidade Federal do Rio de Janeiro (UFRJ)instacron:UFRJ10.1590/2179-8087.054317info:eu-repo/semantics/openAccessRudek,AlynneLopes,Eduardo da SilvaArce,Julio EduardoOliveira Filho,Paulo Costa deeng2018-12-05T00:00:00Zoai:scielo:S2179-80872019000100112Revistahttps://www.floram.org/PUBhttps://old.scielo.br/oai/scielo-oai.phpfloramjournal@gmail.com||floram@ufrrj.br||2179-80871415-0980opendoar:2018-12-05T00:00Floresta e Ambiente - Universidade Federal do Rio de Janeiro (UFRJ)false
dc.title.none.fl_str_mv Development of Mathematical Programming Model for Cable Logging System Location
title Development of Mathematical Programming Model for Cable Logging System Location
spellingShingle Development of Mathematical Programming Model for Cable Logging System Location
Rudek,Alynne
forest extraction
productivity
planning
optimization
title_short Development of Mathematical Programming Model for Cable Logging System Location
title_full Development of Mathematical Programming Model for Cable Logging System Location
title_fullStr Development of Mathematical Programming Model for Cable Logging System Location
title_full_unstemmed Development of Mathematical Programming Model for Cable Logging System Location
title_sort Development of Mathematical Programming Model for Cable Logging System Location
author Rudek,Alynne
author_facet Rudek,Alynne
Lopes,Eduardo da Silva
Arce,Julio Eduardo
Oliveira Filho,Paulo Costa de
author_role author
author2 Lopes,Eduardo da Silva
Arce,Julio Eduardo
Oliveira Filho,Paulo Costa de
author2_role author
author
author
dc.contributor.author.fl_str_mv Rudek,Alynne
Lopes,Eduardo da Silva
Arce,Julio Eduardo
Oliveira Filho,Paulo Costa de
dc.subject.por.fl_str_mv forest extraction
productivity
planning
optimization
topic forest extraction
productivity
planning
optimization
description ABSTRACT Defining the optimum points for installing of a cable logging system is a problem faced by forestry planners. This study evaluated the application of a mathematical programming model for optimal location of cable logging in wood extraction. The study was conducted in a forestry company located in Parana State, Brazil. We collected data during timber harvesting and developed mathematical models to define the optimal location of the cable logging considering the variables “cycle time” and “extraction distance”. The variable “cycle time” affected the definition of the optimal location of equipment resulted in a reduced number of installation points with the largest coverage area. The variable “distance extraction” negatively influenced the location, with an increased number of installation points with smaller coverage. The developed model was efficient, but needs to be improved in order to ensure greater accuracy in wood extraction over long distances.
publishDate 2019
dc.date.none.fl_str_mv 2019-01-01
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
format article
status_str publishedVersion
dc.identifier.uri.fl_str_mv http://old.scielo.br/scielo.php?script=sci_arttext&pid=S2179-80872019000100112
url http://old.scielo.br/scielo.php?script=sci_arttext&pid=S2179-80872019000100112
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv 10.1590/2179-8087.054317
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv text/html
dc.publisher.none.fl_str_mv Instituto de Florestas da Universidade Federal Rural do Rio de Janeiro
publisher.none.fl_str_mv Instituto de Florestas da Universidade Federal Rural do Rio de Janeiro
dc.source.none.fl_str_mv Floresta e Ambiente v.26 n.1 2019
reponame:Floresta e Ambiente
instname:Universidade Federal do Rio de Janeiro (UFRJ)
instacron:UFRJ
instname_str Universidade Federal do Rio de Janeiro (UFRJ)
instacron_str UFRJ
institution UFRJ
reponame_str Floresta e Ambiente
collection Floresta e Ambiente
repository.name.fl_str_mv Floresta e Ambiente - Universidade Federal do Rio de Janeiro (UFRJ)
repository.mail.fl_str_mv floramjournal@gmail.com||floram@ufrrj.br||
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