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

Author

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  • 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
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    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.

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