A critical review of operation research tools applied to forest management in brazilian journals
Autor(a) principal: | |
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Data de Publicação: | 2021 |
Outros Autores: | , , |
Tipo de documento: | Artigo |
Idioma: | por |
Título da fonte: | Ciência Florestal (Online) |
Texto Completo: | https://periodicos.ufsm.br/cienciaflorestal/article/view/53248 |
Resumo: | The use of optimization methods as tools to aid the forest management has grown in the recent decades. However, there is a need to understand how these techniques were applied to forest management in Brazil. Thus, this work presents an overview of the behavior of Brazilian forestry science in this aspect, indicating trends and gaps that can serve as bases for future studies. The most relevant academic journals were selected from the Journal Citation Reports database and the articles were analyzed in terms of the database used (whether real or theoretical), genus of species grown, level of planning (strategic, tactical or operational), planning model, method used to solve the proposed problem (classical mathematical programming or metaheuristics), type of objective function and category of restrictions. As a result, 44 articles published in the period from 1976 to 2019 were found. The types of data that predominated were the real ones in the recent years, which indicates an approximation of the academia in the business sphere. The exotic species had a greater participation in the studies than the native ones. Strategic planning is more approached, followed by tactical and finally operational. As for the methods, there was a tendency to use combinations between classic and heuristic methods. The objective function that was most applied was to maximize revenue and the restriction involving the volumetric production. Therefore, it was possible to identify trends and gaps and analyze the results in a critical view. |
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A critical review of operation research tools applied to forest management in brazilian journalsUma revisão crítica das ferramentas de pesquisa operacional aplicada ao planejamento florestal nos periódicos brasileirosForest ManagementForest OptimizationMathematical ProgrammingManejo FlorestalOtimização FlorestalProgramação MatemáticaThe use of optimization methods as tools to aid the forest management has grown in the recent decades. However, there is a need to understand how these techniques were applied to forest management in Brazil. Thus, this work presents an overview of the behavior of Brazilian forestry science in this aspect, indicating trends and gaps that can serve as bases for future studies. The most relevant academic journals were selected from the Journal Citation Reports database and the articles were analyzed in terms of the database used (whether real or theoretical), genus of species grown, level of planning (strategic, tactical or operational), planning model, method used to solve the proposed problem (classical mathematical programming or metaheuristics), type of objective function and category of restrictions. As a result, 44 articles published in the period from 1976 to 2019 were found. The types of data that predominated were the real ones in the recent years, which indicates an approximation of the academia in the business sphere. The exotic species had a greater participation in the studies than the native ones. Strategic planning is more approached, followed by tactical and finally operational. As for the methods, there was a tendency to use combinations between classic and heuristic methods. The objective function that was most applied was to maximize revenue and the restriction involving the volumetric production. Therefore, it was possible to identify trends and gaps and analyze the results in a critical view.O uso dos métodos de otimização como ferramenta de auxílio ao manejo florestal cresceu nas últimas décadas. No entanto, há a necessidade de entender como essas técnicas foram aplicadas ao manejo florestal no Brasil. Assim, este trabalho apresenta uma visão geral sobre o comportamento da ciência florestal brasileira nesse aspecto, indicando tendências e lacunas que podem servir de base para futuros estudos. Foram selecionados os periódicos de maior relevância acadêmica na categoria florestal a partir da base de dados Journal Citation Reports. Os artigos foram analisados em termos do banco de dados utilizado (se real ou teórico), gênero das espécies cultivadas, nível de planejamento (estratégico, tático ou operacional), modelo de planejamento, método utilizado para resolver o problema proposto (programação matemática clássica ou meta-heurísticas), tipo de função-objetivo e categoria de restrições. Como resultado, foram encontrados 44 artigos publicados no período de 1976 a 2019. Os tipos de dados que predominaram foram os reais nos últimos anos, o que indica uma aproximação da academia no âmbito empresarial. A espécies exóticas tiveram maior participação nos estudos que as nativas. O planejamento estratégico é mais abordado, seguido do tático e por último o operacional. Quanto aos métodos, observou-se uma tendência em se utilizar combinações entre métodos clássicos e heurísticas. A função-objetivo predominante foi a de maximizar a receita e a restrição envolvendo produção volumétrica. Portanto, foi possível identificar tendências e lacunas e analisar os resultados em uma visão crítica.Universidade Federal de Santa Maria2021-11-17info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionapplication/pdftext/htmltext/xmlhttps://periodicos.ufsm.br/cienciaflorestal/article/view/5324810.5902/1980509853248Ciência Florestal; Vol. 31 No. 4 (2021); 2035-2055Ciência Florestal; v. 31 n. 4 (2021); 2035-20551980-50980103-9954reponame:Ciência Florestal (Online)instname:Universidade Federal de Santa Maria (UFSM)instacron:UFSMporhttps://periodicos.ufsm.br/cienciaflorestal/article/view/53248/pdfhttps://periodicos.ufsm.br/cienciaflorestal/article/view/53248/49145https://periodicos.ufsm.br/cienciaflorestal/article/view/53248/52492Copyright (c) 2021 Ciência Florestalhttp://creativecommons.org/licenses/by-nc/4.0info:eu-repo/semantics/openAccessMatos, Lisandra Maria AlvesMagalhães, Emanuelly CanabravaAraújo Júnior, Carlos AlbertoArce, Julio Eduardo2023-04-24T11:34:56Zoai:ojs.pkp.sfu.ca:article/53248Revistahttp://www.ufsm.br/cienciaflorestal/ONGhttps://old.scielo.br/oai/scielo-oai.php||cienciaflorestal@ufsm.br|| cienciaflorestal@gmail.com|| cf@smail.ufsm.br1980-50980103-9954opendoar:2023-04-24T11:34:56Ciência Florestal (Online) - Universidade Federal de Santa Maria (UFSM)false |
dc.title.none.fl_str_mv |
A critical review of operation research tools applied to forest management in brazilian journals Uma revisão crítica das ferramentas de pesquisa operacional aplicada ao planejamento florestal nos periódicos brasileiros |
title |
A critical review of operation research tools applied to forest management in brazilian journals |
spellingShingle |
A critical review of operation research tools applied to forest management in brazilian journals Matos, Lisandra Maria Alves Forest Management Forest Optimization Mathematical Programming Manejo Florestal Otimização Florestal Programação Matemática |
title_short |
A critical review of operation research tools applied to forest management in brazilian journals |
title_full |
A critical review of operation research tools applied to forest management in brazilian journals |
title_fullStr |
A critical review of operation research tools applied to forest management in brazilian journals |
title_full_unstemmed |
A critical review of operation research tools applied to forest management in brazilian journals |
title_sort |
A critical review of operation research tools applied to forest management in brazilian journals |
author |
Matos, Lisandra Maria Alves |
author_facet |
Matos, Lisandra Maria Alves Magalhães, Emanuelly Canabrava Araújo Júnior, Carlos Alberto Arce, Julio Eduardo |
author_role |
author |
author2 |
Magalhães, Emanuelly Canabrava Araújo Júnior, Carlos Alberto Arce, Julio Eduardo |
author2_role |
author author author |
dc.contributor.author.fl_str_mv |
Matos, Lisandra Maria Alves Magalhães, Emanuelly Canabrava Araújo Júnior, Carlos Alberto Arce, Julio Eduardo |
dc.subject.por.fl_str_mv |
Forest Management Forest Optimization Mathematical Programming Manejo Florestal Otimização Florestal Programação Matemática |
topic |
Forest Management Forest Optimization Mathematical Programming Manejo Florestal Otimização Florestal Programação Matemática |
description |
The use of optimization methods as tools to aid the forest management has grown in the recent decades. However, there is a need to understand how these techniques were applied to forest management in Brazil. Thus, this work presents an overview of the behavior of Brazilian forestry science in this aspect, indicating trends and gaps that can serve as bases for future studies. The most relevant academic journals were selected from the Journal Citation Reports database and the articles were analyzed in terms of the database used (whether real or theoretical), genus of species grown, level of planning (strategic, tactical or operational), planning model, method used to solve the proposed problem (classical mathematical programming or metaheuristics), type of objective function and category of restrictions. As a result, 44 articles published in the period from 1976 to 2019 were found. The types of data that predominated were the real ones in the recent years, which indicates an approximation of the academia in the business sphere. The exotic species had a greater participation in the studies than the native ones. Strategic planning is more approached, followed by tactical and finally operational. As for the methods, there was a tendency to use combinations between classic and heuristic methods. The objective function that was most applied was to maximize revenue and the restriction involving the volumetric production. Therefore, it was possible to identify trends and gaps and analyze the results in a critical view. |
publishDate |
2021 |
dc.date.none.fl_str_mv |
2021-11-17 |
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://periodicos.ufsm.br/cienciaflorestal/article/view/53248 10.5902/1980509853248 |
url |
https://periodicos.ufsm.br/cienciaflorestal/article/view/53248 |
identifier_str_mv |
10.5902/1980509853248 |
dc.language.iso.fl_str_mv |
por |
language |
por |
dc.relation.none.fl_str_mv |
https://periodicos.ufsm.br/cienciaflorestal/article/view/53248/pdf https://periodicos.ufsm.br/cienciaflorestal/article/view/53248/49145 https://periodicos.ufsm.br/cienciaflorestal/article/view/53248/52492 |
dc.rights.driver.fl_str_mv |
Copyright (c) 2021 Ciência Florestal http://creativecommons.org/licenses/by-nc/4.0 info:eu-repo/semantics/openAccess |
rights_invalid_str_mv |
Copyright (c) 2021 Ciência Florestal http://creativecommons.org/licenses/by-nc/4.0 |
eu_rights_str_mv |
openAccess |
dc.format.none.fl_str_mv |
application/pdf text/html text/xml |
dc.publisher.none.fl_str_mv |
Universidade Federal de Santa Maria |
publisher.none.fl_str_mv |
Universidade Federal de Santa Maria |
dc.source.none.fl_str_mv |
Ciência Florestal; Vol. 31 No. 4 (2021); 2035-2055 Ciência Florestal; v. 31 n. 4 (2021); 2035-2055 1980-5098 0103-9954 reponame:Ciência Florestal (Online) instname:Universidade Federal de Santa Maria (UFSM) instacron:UFSM |
instname_str |
Universidade Federal de Santa Maria (UFSM) |
instacron_str |
UFSM |
institution |
UFSM |
reponame_str |
Ciência Florestal (Online) |
collection |
Ciência Florestal (Online) |
repository.name.fl_str_mv |
Ciência Florestal (Online) - Universidade Federal de Santa Maria (UFSM) |
repository.mail.fl_str_mv |
||cienciaflorestal@ufsm.br|| cienciaflorestal@gmail.com|| cf@smail.ufsm.br |
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1799944135782694912 |