IDEAS home Printed from https://ideas.repec.org/a/eee/ejores/v280y2020i2p707-729.html
   My bibliography  Save this article

A stochastic planning framework for the discovery of complementary, agricultural systems

Author

Listed:
  • Flores, Hector
  • Villalobos, J. Rene

Abstract

One of the greatest 21st century challenges is meeting the need to feed a growing world population which is expected to increase by about 35% by 2050. To meet this challenge, it is necessary to make major improvements on current food production and distribution systems capabilities, as well as to adapt these systems to expected trends such as climate change. Changing climate patterns may present opportunities for unidentified, geographical regions with adequate climate patterns to produce high-value agricultural products in a profitable and sustainable manner.

Suggested Citation

  • Flores, Hector & Villalobos, J. Rene, 2020. "A stochastic planning framework for the discovery of complementary, agricultural systems," European Journal of Operational Research, Elsevier, vol. 280(2), pages 707-729.
  • Handle: RePEc:eee:ejores:v:280:y:2020:i:2:p:707-729
    DOI: 10.1016/j.ejor.2019.07.053
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0377221719306320
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.ejor.2019.07.053?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.

    Citations

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


    Cited by:

    1. Tuğçe Taşkıner & Bilge Bilgen, 2021. "Optimization Models for Harvest and Production Planning in Agri-Food Supply Chain: A Systematic Review," Logistics, MDPI, vol. 5(3), pages 1-27, August.
    2. Syaiful Anwar & Tomy Perdana & Meddy Rachmadi & Trisna Insan Noor, 2023. "Product Traceability and Supply Chain Sustainability of Black Soybeans as Raw Materials for Soy Sauce in Maintaining Quality and Safety," Sustainability, MDPI, vol. 15(18), pages 1-23, September.
    3. Tri-Dung Nguyen & Uday Venkatadri & Tri Nguyen-Quang & Claver Diallo & Duc-Huy Pham & Huu-Thanh Phan & Le-Khai Pham & Phu-Cuong Nguyen & Michelle Adams, 2024. "Stochastic Modelling Frameworks for Dragon Fruit Supply Chains in Vietnam under Uncertain Factors," Sustainability, MDPI, vol. 16(6), pages 1-29, March.
    4. Zhitao Xu & Adel Elomri & Roberto Baldacci & Laoucine Kerbache & Zhenyong Wu, 2024. "Frontiers and trends of supply chain optimization in the age of industry 4.0: an operations research perspective," Annals of Operations Research, Springer, vol. 338(2), pages 1359-1401, July.

    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:ejores:v:280:y:2020:i:2:p:707-729. 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.

    We have no bibliographic references for this item. You can help adding them by using 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/eor .

    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.