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dc.contributor.author
Catala, Luis Pedro
dc.contributor.author
Durand, Guillermo Andrés
dc.contributor.author
Blanco, Anibal Manuel
dc.contributor.author
Bandoni, Jose Alberto
dc.date.available
2015-07-03T20:56:13Z
dc.date.issued
2013-02
dc.identifier.citation
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
dc.identifier.issn
0308-521X
dc.identifier.uri
http://hdl.handle.net/11336/1015
dc.description.abstract
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.
dc.format
application/pdf
dc.language.iso
eng
dc.publisher
Elsevier
dc.rights
info:eu-repo/semantics/openAccess
dc.rights.uri
https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
dc.subject
FRUIT INDUSTRY
dc.subject
OPTIMIZATION
dc.subject
RESTRUCTURING OF VARIETIES
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STRATEGIC PLANNING
dc.subject.classification
Otras Ingeniería Química
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Ingeniería Química
dc.subject.classification
INGENIERÍAS Y TECNOLOGÍAS
dc.title
Mathematical model for strategic planning optimization in the pome fruit industry
dc.type
info:eu-repo/semantics/article
dc.type
info:ar-repo/semantics/artículo
dc.type
info:eu-repo/semantics/publishedVersion
dc.date.updated
2016-03-30 10:35:44.97925-03
dc.journal.volume
115
dc.journal.pagination
63-71
dc.journal.pais
Países Bajos
dc.journal.ciudad
Amsterdam
dc.description.fil
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
dc.description.fil
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
dc.description.fil
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
dc.description.fil
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
dc.journal.title
Agricultural Systems
dc.relation.alternativeid
info:eu-repo/semantics/altIdentifier/doi/http://dx.doi.org/10.1016/j.agsy.2012.09.010
dc.relation.alternativeid
info:eu-repo/semantics/altIdentifier/url/https://www.sciencedirect.com/science/article/abs/pii/S0308521X12001485
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