Mathematical model for strategic planning optimization in the pome fruit industry

Autores
Catala, Luis Pedro; Durand, Guillermo Andrés; Blanco, Anibal Manuel; Bandoni, Jose Alberto
Año de publicación
2013
Idioma
inglés
Tipo de recurso
artículo
Estado
versión publicada
Descripción
This paper presents a strategic planning model for optimal restructuring of a pome (pears and apples) production farm concerning varieties and planting densities. The model decides the optimal investment policy for a given farm, maximizing the net present value of business while dynamically deciding its planting structure along a given time horizon under different financing scenarios. The model constraints impose restrictions on the activities to take into account risks and cultural practices. The mathematical model corresponds to a mixed integer linear programming problem, where integer decisions are related to the minimum reconversion land unit and funding requirements. The model was applied to a realistic case study of a typical farm in the ‘‘Alto Valle de Río Negro’’ Argen- tine region. The study was conducted over a 20-year time horizon considering four varieties of apples and five of pears. The results showed the optimal investment policy for the replacement of varieties under different scenarios, with and without external financing. A sensitivity analysis was also performed on some of the most influential parameters. The model could be used either by governmental agencies to advise private sectors and to develop strategic economic policies or by companies to optimize the busi- ness profit.
Fil: Catala, Luis Pedro. Universidad Nacional del Sur; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Tucumán. Planta Piloto de Procesos Industriales Microbiológicos; Argentina
Fil: Durand, Guillermo Andrés. Universidad Nacional del Sur; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Tucumán. Planta Piloto de Procesos Industriales Microbiológicos; Argentina
Fil: Blanco, Anibal Manuel. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Tucumán. Planta Piloto de Procesos Industriales Microbiológicos; Argentina. Universidad Nacional del Sur; Argentina
Fil: Bandoni, Jose Alberto. Universidad Nacional del Sur; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Tucumán. Planta Piloto de Procesos Industriales Microbiológicos; Argentina
Materia
FRUIT INDUSTRY
OPTIMIZATION
RESTRUCTURING OF VARIETIES
STRATEGIC PLANNING
Nivel de accesibilidad
acceso abierto
Condiciones de uso
https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
Repositorio
CONICET Digital (CONICET)
Institución
Consejo Nacional de Investigaciones Científicas y Técnicas
OAI Identificador
oai:ri.conicet.gov.ar:11336/1015
Acceder
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oai_identifier_str oai:ri.conicet.gov.ar:11336/1015
network_acronym_str CONICETDig
repository_id_str 3498
network_name_str CONICET Digital (CONICET)
spelling Mathematical model for strategic planning optimization in the pome fruit industryCatala, Luis PedroDurand, Guillermo AndrésBlanco, Anibal ManuelBandoni, Jose AlbertoFRUIT INDUSTRYOPTIMIZATIONRESTRUCTURING OF VARIETIESSTRATEGIC PLANNINGhttps://purl.org/becyt/ford/2.4https://purl.org/becyt/ford/2This paper presents a strategic planning model for optimal restructuring of a pome (pears and apples) production farm concerning varieties and planting densities. The model decides the optimal investment policy for a given farm, maximizing the net present value of business while dynamically deciding its planting structure along a given time horizon under different financing scenarios. The model constraints impose restrictions on the activities to take into account risks and cultural practices. The mathematical model corresponds to a mixed integer linear programming problem, where integer decisions are related to the minimum reconversion land unit and funding requirements. The model was applied to a realistic case study of a typical farm in the ‘‘Alto Valle de Río Negro’’ Argen- tine region. The study was conducted over a 20-year time horizon considering four varieties of apples and five of pears. The results showed the optimal investment policy for the replacement of varieties under different scenarios, with and without external financing. A sensitivity analysis was also performed on some of the most influential parameters. The model could be used either by governmental agencies to advise private sectors and to develop strategic economic policies or by companies to optimize the busi- ness profit.Fil: Catala, Luis Pedro. Universidad Nacional del Sur; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Tucumán. Planta Piloto de Procesos Industriales Microbiológicos; ArgentinaFil: Durand, Guillermo Andrés. Universidad Nacional del Sur; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Tucumán. Planta Piloto de Procesos Industriales Microbiológicos; ArgentinaFil: Blanco, Anibal Manuel. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Tucumán. Planta Piloto de Procesos Industriales Microbiológicos; Argentina. Universidad Nacional del Sur; ArgentinaFil: Bandoni, Jose Alberto. Universidad Nacional del Sur; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Tucumán. Planta Piloto de Procesos Industriales Microbiológicos; ArgentinaElsevier2013-02info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionhttp://purl.org/coar/resource_type/c_6501info:ar-repo/semantics/articuloapplication/pdfapplication/pdfhttp://hdl.handle.net/11336/1015Catala, Luis Pedro; Durand, Guillermo Andrés; Blanco, Anibal Manuel; Bandoni, Jose Alberto; Mathematical model for strategic planning optimization in the pome fruit industry; Elsevier; Agricultural Systems; 115; 2-2013; 63-710308-521Xenginfo:eu-repo/semantics/altIdentifier/doi/10.1016/j.agsy.2012.09.010info:eu-repo/semantics/altIdentifier/url/https://www.sciencedirect.com/science/article/abs/pii/S0308521X12001485info:eu-repo/semantics/openAccesshttps://creativecommons.org/licenses/by-nc-sa/2.5/ar/reponame:CONICET Digital (CONICET)instname:Consejo Nacional de Investigaciones Científicas y Técnicas2025-09-17T11:00:05Zoai:ri.conicet.gov.ar:11336/1015instacron: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:34982025-09-17 11:00:05.816CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicasfalse
dc.title.none.fl_str_mv Mathematical model for strategic planning optimization in the pome fruit industry
title Mathematical model for strategic planning optimization in the pome fruit industry
spellingShingle Mathematical model for strategic planning optimization in the pome fruit industry
Catala, Luis Pedro
FRUIT INDUSTRY
OPTIMIZATION
RESTRUCTURING OF VARIETIES
STRATEGIC PLANNING
title_short Mathematical model for strategic planning optimization in the pome fruit industry
title_full Mathematical model for strategic planning optimization in the pome fruit industry
title_fullStr Mathematical model for strategic planning optimization in the pome fruit industry
title_full_unstemmed Mathematical model for strategic planning optimization in the pome fruit industry
title_sort Mathematical model for strategic planning optimization in the pome fruit industry
dc.creator.none.fl_str_mv Catala, Luis Pedro
Durand, Guillermo Andrés
Blanco, Anibal Manuel
Bandoni, Jose Alberto
author Catala, Luis Pedro
author_facet Catala, Luis Pedro
Durand, Guillermo Andrés
Blanco, Anibal Manuel
Bandoni, Jose Alberto
author_role author
author2 Durand, Guillermo Andrés
Blanco, Anibal Manuel
Bandoni, Jose Alberto
author2_role author
author
author
dc.subject.none.fl_str_mv FRUIT INDUSTRY
OPTIMIZATION
RESTRUCTURING OF VARIETIES
STRATEGIC PLANNING
topic FRUIT INDUSTRY
OPTIMIZATION
RESTRUCTURING OF VARIETIES
STRATEGIC PLANNING
purl_subject.fl_str_mv https://purl.org/becyt/ford/2.4
https://purl.org/becyt/ford/2
dc.description.none.fl_txt_mv This paper presents a strategic planning model for optimal restructuring of a pome (pears and apples) production farm concerning varieties and planting densities. The model decides the optimal investment policy for a given farm, maximizing the net present value of business while dynamically deciding its planting structure along a given time horizon under different financing scenarios. The model constraints impose restrictions on the activities to take into account risks and cultural practices. The mathematical model corresponds to a mixed integer linear programming problem, where integer decisions are related to the minimum reconversion land unit and funding requirements. The model was applied to a realistic case study of a typical farm in the ‘‘Alto Valle de Río Negro’’ Argen- tine region. The study was conducted over a 20-year time horizon considering four varieties of apples and five of pears. The results showed the optimal investment policy for the replacement of varieties under different scenarios, with and without external financing. A sensitivity analysis was also performed on some of the most influential parameters. The model could be used either by governmental agencies to advise private sectors and to develop strategic economic policies or by companies to optimize the busi- ness profit.
Fil: Catala, Luis Pedro. Universidad Nacional del Sur; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Tucumán. Planta Piloto de Procesos Industriales Microbiológicos; Argentina
Fil: Durand, Guillermo Andrés. Universidad Nacional del Sur; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Tucumán. Planta Piloto de Procesos Industriales Microbiológicos; Argentina
Fil: Blanco, Anibal Manuel. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Tucumán. Planta Piloto de Procesos Industriales Microbiológicos; Argentina. Universidad Nacional del Sur; Argentina
Fil: Bandoni, Jose Alberto. Universidad Nacional del Sur; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Tucumán. Planta Piloto de Procesos Industriales Microbiológicos; Argentina
description This paper presents a strategic planning model for optimal restructuring of a pome (pears and apples) production farm concerning varieties and planting densities. The model decides the optimal investment policy for a given farm, maximizing the net present value of business while dynamically deciding its planting structure along a given time horizon under different financing scenarios. The model constraints impose restrictions on the activities to take into account risks and cultural practices. The mathematical model corresponds to a mixed integer linear programming problem, where integer decisions are related to the minimum reconversion land unit and funding requirements. The model was applied to a realistic case study of a typical farm in the ‘‘Alto Valle de Río Negro’’ Argen- tine region. The study was conducted over a 20-year time horizon considering four varieties of apples and five of pears. The results showed the optimal investment policy for the replacement of varieties under different scenarios, with and without external financing. A sensitivity analysis was also performed on some of the most influential parameters. The model could be used either by governmental agencies to advise private sectors and to develop strategic economic policies or by companies to optimize the busi- ness profit.
publishDate 2013
dc.date.none.fl_str_mv 2013-02
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/11336/1015
Catala, Luis Pedro; Durand, Guillermo Andrés; Blanco, Anibal Manuel; Bandoni, Jose Alberto; Mathematical model for strategic planning optimization in the pome fruit industry; Elsevier; Agricultural Systems; 115; 2-2013; 63-71
0308-521X
url http://hdl.handle.net/11336/1015
identifier_str_mv Catala, Luis Pedro; Durand, Guillermo Andrés; Blanco, Anibal Manuel; Bandoni, Jose Alberto; Mathematical model for strategic planning optimization in the pome fruit industry; Elsevier; Agricultural Systems; 115; 2-2013; 63-71
0308-521X
dc.language.none.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv info:eu-repo/semantics/altIdentifier/doi/10.1016/j.agsy.2012.09.010
info:eu-repo/semantics/altIdentifier/url/https://www.sciencedirect.com/science/article/abs/pii/S0308521X12001485
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 Elsevier
publisher.none.fl_str_mv Elsevier
dc.source.none.fl_str_mv reponame:CONICET Digital (CONICET)
instname:Consejo Nacional de Investigaciones Científicas y Técnicas
reponame_str CONICET Digital (CONICET)
collection 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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score 13.001348

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