IDEAS home Printed from https://ideas.repec.org/a/eee/agisys/v115y2013icp63-71.html
   My bibliography  Save this article

Mathematical model for strategic planning optimization in the pome fruit industry

Author

Listed:
  • Catalá, Luis P.
  • Durand, Guillermo A.
  • Blanco, Aníbal M.
  • Alberto Bandoni, J.

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.

Suggested Citation

  • Catalá, Luis P. & Durand, Guillermo A. & Blanco, Aníbal M. & Alberto Bandoni, J., 2013. "Mathematical model for strategic planning optimization in the pome fruit industry," Agricultural Systems, Elsevier, vol. 115(C), pages 63-71.
    • Handle: RePEc:eee:agisys:v:115:y:2013:i:c:p:63-71
    DOI: 10.1016/j.agsy.2012.09.010
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0308521X12001485
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.agsy.2012.09.010?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Ward, Lionel E. & Faris, J. Edwin, 1968. "A Stochastic Approach to Replacement Policies For Plum Trees," Monographs, University of California, Davis, Giannini Foundation, number 251953, December.
    2. Cittadini, E.D. & Lubbers, M.T.M.H. & de Ridder, N. & van Keulen, H. & Claassen, G.D.H., 2008. "Exploring options for farm-level strategic and tactical decision-making in fruit production systems of South Patagonia, Argentina," Agricultural Systems, Elsevier, vol. 98(3), pages 189-198, October.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Rohrig, Maren B.K. & Hardeweg, Bernd & Lentz, Wolfgang, 2018. "Efficient farming options for German apple growers under risk – a stochastic dominance approach," International Food and Agribusiness Management Review, International Food and Agribusiness Management Association, vol. 21(1).
    2. Ramos, Francisco López & Batres, Rafael & De-la-Cruz-Márquez, Cynthia Griselle & Anzures, Melina López, 2023. "Optimization models for nopal crop planning with land usage expansion and government subsidy," Socio-Economic Planning Sciences, Elsevier, vol. 89(C).
    3. Soto-Silva, Wladimir E. & Nadal-Roig, Esteve & González-Araya, Marcela C. & Pla-Aragones, Lluis M., 2016. "Operational research models applied to the fresh fruit supply chain," European Journal of Operational Research, Elsevier, vol. 251(2), pages 345-355.
    4. Yingxue Rao & Min Zhou & Chunxia Cao & Shukui Tan & Yan Song & Zuo Zhang & Deyi Dai & Guoliang Ou & Lu Zhang & Xin Nie & Aiping Deng & Zhuoma Cairen, 2019. "Exploring the quantitive relationship between economic benefit and environmental constraint using an inexact chance-constrained fuzzy programming based industrial structure optimization model," Quality & Quantity: International Journal of Methodology, Springer, vol. 53(4), pages 2199-2220, July.
    5. Ana Esteso & M. M. E. Alemany & Angel Ortiz & Shaofeng Liu, 2022. "Optimization model to support sustainable crop planning for reducing unfairness among farmers," Central European Journal of Operations Research, Springer;Slovak Society for Operations Research;Hungarian Operational Research Society;Czech Society for Operations Research;Österr. Gesellschaft für Operations Research (ÖGOR);Slovenian Society Informatika - Section for Operational Research;Croatian Operational Research Society, vol. 30(3), pages 1101-1127, September.
    6. Gómez-Lagos, Javier E. & González-Araya, Marcela C. & Soto-Silva, Wladimir E. & Rivera-Moraga, Masly M., 2021. "Optimizing tactical harvest planning for multiple fruit orchards using a metaheuristic modeling approach," European Journal of Operational Research, Elsevier, vol. 290(1), pages 297-312.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Kotir, Julius H. & Bell, Lindsay W. & Kirkegaard, John A. & Whish, Jeremy & Aikins, Kojo Atta, 2022. "Labour demand – The forgotten input influencing the execution and adoptability of alternative cropping systems in Eastern Australia," Agricultural Systems, Elsevier, vol. 203(C).
    2. Gema Carmona & Consuelo Varela-Ortega & John Bromley, 2011. "The Use of Participatory Object-Oriented Bayesian Networks and Agro-Economic Models for Groundwater Management in Spain," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 25(5), pages 1509-1524, March.
    3. Soto-Silva, Wladimir E. & Nadal-Roig, Esteve & González-Araya, Marcela C. & Pla-Aragones, Lluis M., 2016. "Operational research models applied to the fresh fruit supply chain," European Journal of Operational Research, Elsevier, vol. 251(2), pages 345-355.
    4. Subedi, Yuba Raj & Kristiansen, Paul & Cacho, Oscar, 2022. "Reutilising abandoned cropland in the Hill agroecological region of Nepal: Options and farmers’ preferences," Land Use Policy, Elsevier, vol. 117(C).
    5. Dupré, Marie & Blazy, Jean-Marc & Michels, Thierry & Le Gal, Pierre-Yves, 2021. "Supporting policymakers in designing agricultural policy instruments: A participatory approach with a regional bioeconomic model in La Réunion (France)," Land Use Policy, Elsevier, vol. 100(C).
    6. Crane, Donald R. Jr. & Spreen, Thomas H., 1979. "A Conceptual Model Of The Stubble Replacement Decision For Florida Sugarcane Growers," 1979 Annual Meeting, July 29-August 1, Pullman, Washington 277828, American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association).

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:eee:agisys:v:115:y:2013:i:c:p:63-71. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Catherine Liu (email available below). General contact details of provider: http://www.elsevier.com/locate/agsy .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.