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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  
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RESTRUCTURING OF VARIETIES  
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STRATEGIC PLANNING  
dc.subject.classification
Otras Ingeniería Química  
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Ingeniería Química  
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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