Evaluation of different strategic planning approaches in a forest plantation in the North of Misiones Province, Argentina
- Autores
- Broz, Diego Ricardo; López, Mathías Isaac; Sanzovo, Enzo; Arce, Julio; Reis, Hugo
- Año de publicación
- 2021
- Idioma
- inglés
- Tipo de recurso
- artículo
- Estado
- versión publicada
- Descripción
- In this paper we evaluate different models and constraints to define strategic planning approaches. In addition, we analyze the best models to meet the expectations generated by the organization. A forest company situated in the province of Misiones, Argentina, provided the data. Hence, forest growth was simulated and, ultimately, optimized planning was used to evaluate different scenarios with 50-year horizon. The best results to stabilize log production were obtained when the harvest is relaxed in ±2 years. Relaxing the clear-cut age leads to a better balance in planting, thinning (1, 2, 3 and 4) and clear felling operations. We found that when maximizing the economic benefit, the NPV is slightly higher, however, this is not significant. In this sense, the planner chooses an economic or volumetric objective function. Furthermore, we demonstrated that model 1 presented better results than model 2 because it manages to stabilize production in the planning horizon. The results allow forest companies to see the implication of choosing the model for strategic planning.
Fil: Broz, Diego Ricardo. Universidad Nacional de Misiones. Facultad de Ciencias Forestales; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Nordeste; Argentina
Fil: López, Mathías Isaac. Universidad Nacional de Misiones. Facultad de Ciencias Forestales; Argentina
Fil: Sanzovo, Enzo. Universidad Nacional de Misiones. Facultad de Ciencias Forestales; Argentina
Fil: Arce, Julio. Universidade Federal do Paraná; Brasil
Fil: Reis, Hugo. No especifíca; - Materia
-
ARAUCARIA
FOREST MANAGEMENT
LINEAR PROGRAMMING
LONG-TERM PLANNING
OPTIMIZATION
PINUS - Nivel de accesibilidad
- acceso abierto
- Condiciones de uso
- https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
- Repositorio
- Institución
- Consejo Nacional de Investigaciones Científicas y Técnicas
- OAI Identificador
- oai:ri.conicet.gov.ar:11336/150429
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Evaluation of different strategic planning approaches in a forest plantation in the North of Misiones Province, ArgentinaBroz, Diego RicardoLópez, Mathías IsaacSanzovo, EnzoArce, JulioReis, HugoARAUCARIAFOREST MANAGEMENTLINEAR PROGRAMMINGLONG-TERM PLANNINGOPTIMIZATIONPINUShttps://purl.org/becyt/ford/4.1https://purl.org/becyt/ford/4In this paper we evaluate different models and constraints to define strategic planning approaches. In addition, we analyze the best models to meet the expectations generated by the organization. A forest company situated in the province of Misiones, Argentina, provided the data. Hence, forest growth was simulated and, ultimately, optimized planning was used to evaluate different scenarios with 50-year horizon. The best results to stabilize log production were obtained when the harvest is relaxed in ±2 years. Relaxing the clear-cut age leads to a better balance in planting, thinning (1, 2, 3 and 4) and clear felling operations. We found that when maximizing the economic benefit, the NPV is slightly higher, however, this is not significant. In this sense, the planner chooses an economic or volumetric objective function. Furthermore, we demonstrated that model 1 presented better results than model 2 because it manages to stabilize production in the planning horizon. The results allow forest companies to see the implication of choosing the model for strategic planning.Fil: Broz, Diego Ricardo. Universidad Nacional de Misiones. Facultad de Ciencias Forestales; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Nordeste; ArgentinaFil: López, Mathías Isaac. Universidad Nacional de Misiones. Facultad de Ciencias Forestales; ArgentinaFil: Sanzovo, Enzo. Universidad Nacional de Misiones. Facultad de Ciencias Forestales; ArgentinaFil: Arce, Julio. Universidade Federal do Paraná; BrasilFil: Reis, Hugo. No especifíca;American Institute of Mathematical Sciences2021-11info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionhttp://purl.org/coar/resource_type/c_6501info:ar-repo/semantics/articuloapplication/pdfapplication/pdfhttp://hdl.handle.net/11336/150429Broz, Diego Ricardo; López, Mathías Isaac; Sanzovo, Enzo; Arce, Julio; Reis, Hugo; Evaluation of different strategic planning approaches in a forest plantation in the North of Misiones Province, Argentina; American Institute of Mathematical Sciences; Mathematical Biosciences And Engineering; 19; 1; 11-2021; 918-9351547-1063CONICET DigitalCONICETenginfo:eu-repo/semantics/altIdentifier/url/http://www.aimspress.com/article/doi/10.3934/mbe.2022042info:eu-repo/semantics/altIdentifier/doi/10.3934/mbe.2022042info:eu-repo/semantics/openAccesshttps://creativecommons.org/licenses/by-nc-sa/2.5/ar/reponame:CONICET Digital (CONICET)instname:Consejo Nacional de Investigaciones Científicas y Técnicas2025-09-29T10:15:29Zoai:ri.conicet.gov.ar:11336/150429instacron:CONICETInstitucionalhttp://ri.conicet.gov.ar/Organismo científico-tecnológicoNo correspondehttp://ri.conicet.gov.ar/oai/requestdasensio@conicet.gov.ar; lcarlino@conicet.gov.arArgentinaNo correspondeNo correspondeNo correspondeopendoar:34982025-09-29 10:15:29.869CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicasfalse |
dc.title.none.fl_str_mv |
Evaluation of different strategic planning approaches in a forest plantation in the North of Misiones Province, Argentina |
title |
Evaluation of different strategic planning approaches in a forest plantation in the North of Misiones Province, Argentina |
spellingShingle |
Evaluation of different strategic planning approaches in a forest plantation in the North of Misiones Province, Argentina Broz, Diego Ricardo ARAUCARIA FOREST MANAGEMENT LINEAR PROGRAMMING LONG-TERM PLANNING OPTIMIZATION PINUS |
title_short |
Evaluation of different strategic planning approaches in a forest plantation in the North of Misiones Province, Argentina |
title_full |
Evaluation of different strategic planning approaches in a forest plantation in the North of Misiones Province, Argentina |
title_fullStr |
Evaluation of different strategic planning approaches in a forest plantation in the North of Misiones Province, Argentina |
title_full_unstemmed |
Evaluation of different strategic planning approaches in a forest plantation in the North of Misiones Province, Argentina |
title_sort |
Evaluation of different strategic planning approaches in a forest plantation in the North of Misiones Province, Argentina |
dc.creator.none.fl_str_mv |
Broz, Diego Ricardo López, Mathías Isaac Sanzovo, Enzo Arce, Julio Reis, Hugo |
author |
Broz, Diego Ricardo |
author_facet |
Broz, Diego Ricardo López, Mathías Isaac Sanzovo, Enzo Arce, Julio Reis, Hugo |
author_role |
author |
author2 |
López, Mathías Isaac Sanzovo, Enzo Arce, Julio Reis, Hugo |
author2_role |
author author author author |
dc.subject.none.fl_str_mv |
ARAUCARIA FOREST MANAGEMENT LINEAR PROGRAMMING LONG-TERM PLANNING OPTIMIZATION PINUS |
topic |
ARAUCARIA FOREST MANAGEMENT LINEAR PROGRAMMING LONG-TERM PLANNING OPTIMIZATION PINUS |
purl_subject.fl_str_mv |
https://purl.org/becyt/ford/4.1 https://purl.org/becyt/ford/4 |
dc.description.none.fl_txt_mv |
In this paper we evaluate different models and constraints to define strategic planning approaches. In addition, we analyze the best models to meet the expectations generated by the organization. A forest company situated in the province of Misiones, Argentina, provided the data. Hence, forest growth was simulated and, ultimately, optimized planning was used to evaluate different scenarios with 50-year horizon. The best results to stabilize log production were obtained when the harvest is relaxed in ±2 years. Relaxing the clear-cut age leads to a better balance in planting, thinning (1, 2, 3 and 4) and clear felling operations. We found that when maximizing the economic benefit, the NPV is slightly higher, however, this is not significant. In this sense, the planner chooses an economic or volumetric objective function. Furthermore, we demonstrated that model 1 presented better results than model 2 because it manages to stabilize production in the planning horizon. The results allow forest companies to see the implication of choosing the model for strategic planning. Fil: Broz, Diego Ricardo. Universidad Nacional de Misiones. Facultad de Ciencias Forestales; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Nordeste; Argentina Fil: López, Mathías Isaac. Universidad Nacional de Misiones. Facultad de Ciencias Forestales; Argentina Fil: Sanzovo, Enzo. Universidad Nacional de Misiones. Facultad de Ciencias Forestales; Argentina Fil: Arce, Julio. Universidade Federal do Paraná; Brasil Fil: Reis, Hugo. No especifíca; |
description |
In this paper we evaluate different models and constraints to define strategic planning approaches. In addition, we analyze the best models to meet the expectations generated by the organization. A forest company situated in the province of Misiones, Argentina, provided the data. Hence, forest growth was simulated and, ultimately, optimized planning was used to evaluate different scenarios with 50-year horizon. The best results to stabilize log production were obtained when the harvest is relaxed in ±2 years. Relaxing the clear-cut age leads to a better balance in planting, thinning (1, 2, 3 and 4) and clear felling operations. We found that when maximizing the economic benefit, the NPV is slightly higher, however, this is not significant. In this sense, the planner chooses an economic or volumetric objective function. Furthermore, we demonstrated that model 1 presented better results than model 2 because it manages to stabilize production in the planning horizon. The results allow forest companies to see the implication of choosing the model for strategic planning. |
publishDate |
2021 |
dc.date.none.fl_str_mv |
2021-11 |
dc.type.none.fl_str_mv |
info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion http://purl.org/coar/resource_type/c_6501 info:ar-repo/semantics/articulo |
format |
article |
status_str |
publishedVersion |
dc.identifier.none.fl_str_mv |
http://hdl.handle.net/11336/150429 Broz, Diego Ricardo; López, Mathías Isaac; Sanzovo, Enzo; Arce, Julio; Reis, Hugo; Evaluation of different strategic planning approaches in a forest plantation in the North of Misiones Province, Argentina; American Institute of Mathematical Sciences; Mathematical Biosciences And Engineering; 19; 1; 11-2021; 918-935 1547-1063 CONICET Digital CONICET |
url |
http://hdl.handle.net/11336/150429 |
identifier_str_mv |
Broz, Diego Ricardo; López, Mathías Isaac; Sanzovo, Enzo; Arce, Julio; Reis, Hugo; Evaluation of different strategic planning approaches in a forest plantation in the North of Misiones Province, Argentina; American Institute of Mathematical Sciences; Mathematical Biosciences And Engineering; 19; 1; 11-2021; 918-935 1547-1063 CONICET Digital CONICET |
dc.language.none.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
info:eu-repo/semantics/altIdentifier/url/http://www.aimspress.com/article/doi/10.3934/mbe.2022042 info:eu-repo/semantics/altIdentifier/doi/10.3934/mbe.2022042 |
dc.rights.none.fl_str_mv |
info:eu-repo/semantics/openAccess https://creativecommons.org/licenses/by-nc-sa/2.5/ar/ |
eu_rights_str_mv |
openAccess |
rights_invalid_str_mv |
https://creativecommons.org/licenses/by-nc-sa/2.5/ar/ |
dc.format.none.fl_str_mv |
application/pdf application/pdf |
dc.publisher.none.fl_str_mv |
American Institute of Mathematical Sciences |
publisher.none.fl_str_mv |
American Institute of Mathematical Sciences |
dc.source.none.fl_str_mv |
reponame:CONICET Digital (CONICET) instname:Consejo Nacional de Investigaciones Científicas y Técnicas |
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CONICET Digital (CONICET) |
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CONICET Digital (CONICET) |
instname_str |
Consejo Nacional de Investigaciones Científicas y Técnicas |
repository.name.fl_str_mv |
CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicas |
repository.mail.fl_str_mv |
dasensio@conicet.gov.ar; lcarlino@conicet.gov.ar |
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1844614091327406080 |
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13.070432 |