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2024 | OriginalPaper | Buchkapitel

Managing Risk in Fresh Produce Planning Considering Price Variability, Yield Variability, and Regional Complementarity

verfasst von : Miguel Peinado-Guerrero, Omar Ahumada, Rodrigo Ulloa, Xaimarie Hernandez-Cruz, Grace Neal, Abhay Jayani, J. Rene Villalobos

Erschienen in: Optimization Under Uncertainty in Sustainable Agriculture and Agrifood Industry

Verlag: Springer International Publishing

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Abstract

Agricultural supply chains for fresh products exhibit higher levels of variability than those exhibited by other agri-food supply chains for products with longer shelf lives such as grains, cotton, or frozen foods. This variability takes different forms; chief among them are price and yield variability. These factors complicate the task of the grower of deciding when and how much of each crop to plant to maximize expected profits. In this chapter we discuss mathematical models for making planting decisions that are robust to the price and yield variability of fresh foods so that growers can maximize their expected profit. As part of the chapter, a case study is presented. The case study allocates production among complementary regions using a stochastic programming approach.

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Vorheriges Kapitel Agri-food Supply Chain: An Optimisation Approach for Waste Valorisation

Nächstes Kapitel In Silico Evaluation and Prediction of Pesticide Supported by Reproducible Evolutionary Workflows

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Titel: Managing Risk in Fresh Produce Planning Considering Price Variability, Yield Variability, and Regional Complementarity
verfasst von: Miguel Peinado-Guerrero
Omar Ahumada
Rodrigo Ulloa
Xaimarie Hernandez-Cruz
Grace Neal
Abhay Jayani
J. Rene Villalobos
Verlag: Springer International Publishing
Buch: Optimization Under Uncertainty in Sustainable Agriculture and Agrifood Industry
Print ISBN: 978-3-031-49739-1

Electronic ISBN: 978-3-031-49740-7

Copyright-Jahr: 2024
DOI: https://doi.org/10.1007/978-3-031-49740-7_5

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