METHODOLOGY FOR PLANNING LOG STACKING USING GEOTECHNOLOGY AND OPERATIONS RESEARCH
Autor(a) principal: | |
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Data de Publicação: | 2015 |
Outros Autores: | , , , , , |
Tipo de documento: | Artigo |
Idioma: | por |
Título da fonte: | Cerne (Online) |
Texto Completo: | https://cerne.ufla.br/site/index.php/CERNE/article/view/50 |
Resumo: | In view of the need to improve the planning of timber harvest and transportation, with both activities being the most influential in determining the final cost of timber delivered to the mill yard, this work aims to develop a new methodological proposal using operations research and geotechnology tools in order to determine optimal locations for log stacking and also the amount of timber to be allocated to each selected stack. Analysis was performed using two software applications, geographic information system (GIS) and operations research (OR). GIS spatial analyses were based on layers of the study site, which is a property owned by Votorantim Celulose e Papel, located in the municipality of São José dos Campos, in order to obtain three variables: degree of difficulty in operating forestry equipment, degree of difficulty in log stacking, and distance between log stacks and existing roadways. To obtain these variables, layers containing information on terrain inclination and existing roadways were combined in another analysis named weighted overlay. Results were then filtered and inserted into an operations research environment for maximization of the timber volume in each selected stack. With results obtained from the geographic information system, 80 potential sites were selected for log stacking. By using operations research, 59 of these sites were ruled out, a 73% reduction in the number of potential sites, with only 21 sites remaining as potentially optimal for log storage. For each of these 21 sites, an optimal amount of timber was determined to be allocated to each one of them. |
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METHODOLOGY FOR PLANNING LOG STACKING USING GEOTECHNOLOGY AND OPERATIONS RESEARCHGeographic information systemlinear programminglog stackingIn view of the need to improve the planning of timber harvest and transportation, with both activities being the most influential in determining the final cost of timber delivered to the mill yard, this work aims to develop a new methodological proposal using operations research and geotechnology tools in order to determine optimal locations for log stacking and also the amount of timber to be allocated to each selected stack. Analysis was performed using two software applications, geographic information system (GIS) and operations research (OR). GIS spatial analyses were based on layers of the study site, which is a property owned by Votorantim Celulose e Papel, located in the municipality of São José dos Campos, in order to obtain three variables: degree of difficulty in operating forestry equipment, degree of difficulty in log stacking, and distance between log stacks and existing roadways. To obtain these variables, layers containing information on terrain inclination and existing roadways were combined in another analysis named weighted overlay. Results were then filtered and inserted into an operations research environment for maximization of the timber volume in each selected stack. With results obtained from the geographic information system, 80 potential sites were selected for log stacking. By using operations research, 59 of these sites were ruled out, a 73% reduction in the number of potential sites, with only 21 sites remaining as potentially optimal for log storage. For each of these 21 sites, an optimal amount of timber was determined to be allocated to each one of them. CERNECERNE2015-05-11info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionapplication/pdfhttps://cerne.ufla.br/site/index.php/CERNE/article/view/50CERNE; Vol. 17 No. 3 (2011); 309-319CERNE; v. 17 n. 3 (2011); 309-3192317-63420104-7760reponame:Cerne (Online)instname:Universidade Federal de Lavras (UFLA)instacron:UFLAporhttps://cerne.ufla.br/site/index.php/CERNE/article/view/50/42Copyright (c) 2015 Mariana Peres de Lima, Luís Marcelo Tavares de Carvalho, Adriana Zanella Martinhago, Luciano Teixeira de Oliveira, Samuel de Pádua Chaves e Carvalho, Gleyce Campos Dutra, Thomaz Chaves de Andrade Oliveirainfo:eu-repo/semantics/openAccessLima, Mariana Peres deCarvalho, Luís Marcelo Tavares deMartinhago, Adriana ZanellaOliveira, Luciano Teixeira deCarvalho, Samuel de Pádua Chaves eDutra, Gleyce CamposOliveira, Thomaz Chaves de Andrade2015-05-12T11:04:19Zoai:cerne.ufla.br:article/50Revistahttps://cerne.ufla.br/site/index.php/CERNEPUBhttps://cerne.ufla.br/site/index.php/CERNE/oaicerne@dcf.ufla.br||cerne@dcf.ufla.br2317-63420104-7760opendoar:2024-05-21T19:53:27.953567Cerne (Online) - Universidade Federal de Lavras (UFLA)true |
dc.title.none.fl_str_mv |
METHODOLOGY FOR PLANNING LOG STACKING USING GEOTECHNOLOGY AND OPERATIONS RESEARCH |
title |
METHODOLOGY FOR PLANNING LOG STACKING USING GEOTECHNOLOGY AND OPERATIONS RESEARCH |
spellingShingle |
METHODOLOGY FOR PLANNING LOG STACKING USING GEOTECHNOLOGY AND OPERATIONS RESEARCH Lima, Mariana Peres de Geographic information system linear programming log stacking |
title_short |
METHODOLOGY FOR PLANNING LOG STACKING USING GEOTECHNOLOGY AND OPERATIONS RESEARCH |
title_full |
METHODOLOGY FOR PLANNING LOG STACKING USING GEOTECHNOLOGY AND OPERATIONS RESEARCH |
title_fullStr |
METHODOLOGY FOR PLANNING LOG STACKING USING GEOTECHNOLOGY AND OPERATIONS RESEARCH |
title_full_unstemmed |
METHODOLOGY FOR PLANNING LOG STACKING USING GEOTECHNOLOGY AND OPERATIONS RESEARCH |
title_sort |
METHODOLOGY FOR PLANNING LOG STACKING USING GEOTECHNOLOGY AND OPERATIONS RESEARCH |
author |
Lima, Mariana Peres de |
author_facet |
Lima, Mariana Peres de Carvalho, Luís Marcelo Tavares de Martinhago, Adriana Zanella Oliveira, Luciano Teixeira de Carvalho, Samuel de Pádua Chaves e Dutra, Gleyce Campos Oliveira, Thomaz Chaves de Andrade |
author_role |
author |
author2 |
Carvalho, Luís Marcelo Tavares de Martinhago, Adriana Zanella Oliveira, Luciano Teixeira de Carvalho, Samuel de Pádua Chaves e Dutra, Gleyce Campos Oliveira, Thomaz Chaves de Andrade |
author2_role |
author author author author author author |
dc.contributor.author.fl_str_mv |
Lima, Mariana Peres de Carvalho, Luís Marcelo Tavares de Martinhago, Adriana Zanella Oliveira, Luciano Teixeira de Carvalho, Samuel de Pádua Chaves e Dutra, Gleyce Campos Oliveira, Thomaz Chaves de Andrade |
dc.subject.por.fl_str_mv |
Geographic information system linear programming log stacking |
topic |
Geographic information system linear programming log stacking |
description |
In view of the need to improve the planning of timber harvest and transportation, with both activities being the most influential in determining the final cost of timber delivered to the mill yard, this work aims to develop a new methodological proposal using operations research and geotechnology tools in order to determine optimal locations for log stacking and also the amount of timber to be allocated to each selected stack. Analysis was performed using two software applications, geographic information system (GIS) and operations research (OR). GIS spatial analyses were based on layers of the study site, which is a property owned by Votorantim Celulose e Papel, located in the municipality of São José dos Campos, in order to obtain three variables: degree of difficulty in operating forestry equipment, degree of difficulty in log stacking, and distance between log stacks and existing roadways. To obtain these variables, layers containing information on terrain inclination and existing roadways were combined in another analysis named weighted overlay. Results were then filtered and inserted into an operations research environment for maximization of the timber volume in each selected stack. With results obtained from the geographic information system, 80 potential sites were selected for log stacking. By using operations research, 59 of these sites were ruled out, a 73% reduction in the number of potential sites, with only 21 sites remaining as potentially optimal for log storage. For each of these 21 sites, an optimal amount of timber was determined to be allocated to each one of them. |
publishDate |
2015 |
dc.date.none.fl_str_mv |
2015-05-11 |
dc.type.driver.fl_str_mv |
info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion |
format |
article |
status_str |
publishedVersion |
dc.identifier.uri.fl_str_mv |
https://cerne.ufla.br/site/index.php/CERNE/article/view/50 |
url |
https://cerne.ufla.br/site/index.php/CERNE/article/view/50 |
dc.language.iso.fl_str_mv |
por |
language |
por |
dc.relation.none.fl_str_mv |
https://cerne.ufla.br/site/index.php/CERNE/article/view/50/42 |
dc.rights.driver.fl_str_mv |
info:eu-repo/semantics/openAccess |
eu_rights_str_mv |
openAccess |
dc.format.none.fl_str_mv |
application/pdf |
dc.publisher.none.fl_str_mv |
CERNE CERNE |
publisher.none.fl_str_mv |
CERNE CERNE |
dc.source.none.fl_str_mv |
CERNE; Vol. 17 No. 3 (2011); 309-319 CERNE; v. 17 n. 3 (2011); 309-319 2317-6342 0104-7760 reponame:Cerne (Online) instname:Universidade Federal de Lavras (UFLA) instacron:UFLA |
instname_str |
Universidade Federal de Lavras (UFLA) |
instacron_str |
UFLA |
institution |
UFLA |
reponame_str |
Cerne (Online) |
collection |
Cerne (Online) |
repository.name.fl_str_mv |
Cerne (Online) - Universidade Federal de Lavras (UFLA) |
repository.mail.fl_str_mv |
cerne@dcf.ufla.br||cerne@dcf.ufla.br |
_version_ |
1799874939127332864 |