A mathematical model for the optimization of agricultural supply chain under uncertain environmental and financial conditions: the case study of fresh date fruit
Author:
Publisher
Springer Science and Business Media LLC
Subject
Management, Monitoring, Policy and Law,Economics and Econometrics,Geography, Planning and Development
Link
https://link.springer.com/content/pdf/10.1007/s10668-023-03503-7.pdf
Reference50 articles.
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2. Anderson, E., & Monjardino, M. (2019). Contract design in agriculture supply chains with random yield. European Journal of Operational Research, 277(3), 1072–1082. https://doi.org/10.1016/j.ejor.2019.03.041
3. Aramyan, L. H., Kooten, O. V., & Lansink, A. O. (2006). Quantifying the agri-food supply chain. Quantifying the Agri-Food Supply Chain. https://doi.org/10.1007/1-4020-4693-6
4. Baratsas, S. G., Pistikopoulos, E. N., & Avraamidou, S. (2021). A systems engineering framework for the optimization of food supply chains under circular economy considerations. Science of the Total Environment, 794, 148726. https://doi.org/10.1016/j.scitotenv.2021.148726
5. Borodin, V., Bourtembourg, J., Hnaien, F., & Labadie, N. (2016). Handling uncertainty in agricultural supply chain management: A state of the art. European Journal of Operational Research, 254(2), 348–359. https://doi.org/10.1016/j.ejor.2016.03.057
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