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Sustainable vegetable crop supply problem with perishable stocks

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  • Alysson Costa
  • Lana Santos
  • Douglas Alem
  • Ricardo Santos

Abstract

In this paper, we deal with a vegetable crop supply problem with two main particularities: (i) the production must respect certain ecologically-based constraints and (ii) harvested crops can be stocked but only for a limited period of time, given that they are perishable. To model these characteristics, we develop a linear formulation in which each variable is associated to a crop rotation plan. This model contains a very large number of variables and is therefore solved with the aid of a column generation approach. Moreover, we also propose a two-stage stochastic programming with recourse model which takes into consideration that information on the demands might be uncertain. We provide a discussion of the results obtained via computational tests run on instances adapted from real-world data. Copyright Springer Science+Business Media, LLC 2014

Suggested Citation

  • Alysson Costa & Lana Santos & Douglas Alem & Ricardo Santos, 2014. "Sustainable vegetable crop supply problem with perishable stocks," Annals of Operations Research, Springer, vol. 219(1), pages 265-283, August.
    • Handle: RePEc:spr:annopr:v:219:y:2014:i:1:p:265-283:10.1007/s10479-010-0830-y
    DOI: 10.1007/s10479-010-0830-y
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    6. Yael Perlman & Yaacov Ozinci & Sara Westrich, 2022. "Pricing decisions in a dual supply chain of organic and conventional agricultural products," Annals of Operations Research, Springer, vol. 314(2), pages 601-616, July.
    7. Santos, Lana M.R. & Munari, Pedro & Costa, Alysson M. & Santos, Ricardo H.S., 2015. "A branch-price-and-cut method for the vegetable crop rotation scheduling problem with minimal plot sizes," European Journal of Operational Research, Elsevier, vol. 245(2), pages 581-590.
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    11. Víctor M. Albornoz & Gabriel E. Zamora, 2021. "Decomposition-based heuristic for the zoning and crop planning problem with adjacency constraints," TOP: An Official Journal of the Spanish Society of Statistics and Operations Research, Springer;Sociedad de Estadística e Investigación Operativa, vol. 29(1), pages 248-265, April.
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    14. Alfandari, Laurent & Plateau, Agnès & Schepler, Xavier, 2015. "A branch-and-price-and-cut approach for sustainable crop rotation planning," European Journal of Operational Research, Elsevier, vol. 241(3), pages 872-879.
    15. Tal Avinadav & Tatyana Chernonog & Yael Lahav & Uriel Spiegel, 2017. "Dynamic pricing and promotion expenditures in an EOQ model of perishable products," Annals of Operations Research, Springer, vol. 248(1), pages 75-91, January.
    16. Bo Yan & Xiaoxu Chen & Qin Yuan & Xiaotai Zhou, 2020. "Sustainability in fresh agricultural product supply chain based on radio frequency identification under an emergency," 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. 28(4), pages 1343-1361, December.
    17. Gang Wang & Angappa Gunasekaran, 2017. "Modeling and analysis of sustainable supply chain dynamics," Annals of Operations Research, Springer, vol. 250(2), pages 521-536, March.
    18. Fatemeh Keshavarz-Ghorbani & Seyed Hamid Reza Pasandideh, 2022. "A Lagrangian relaxation algorithm for optimizing a bi-objective agro-supply chain model considering CO2 emissions," Annals of Operations Research, Springer, vol. 314(2), pages 497-527, July.
    19. Salvatore Ammirato & Alberto Michele Felicetti & Massimiliano Ferrara & Cinzia Raso & Antonio Violi, 2021. "Collaborative Organization Models for Sustainable Development in the Agri-Food Sector," Sustainability, MDPI, vol. 13(4), pages 1-22, February.

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