A scenario-based approach for quality risk management: case of annual crops scheduling
International Conference on Metaheuristics and Nature Inspired Computing (META)
This paper presents a stochastic optimization model that establishes the harvest scheduling of the entire farmers crop at optimum maturity. Gathering the harvest represents an important stage for the agricultural cooperatives and individual farmers production that involves the risk control of crop quality and safety degradation. In this sense, meteorological conditions represent the determinative factor that affects the harvest scheduling during which crops are gathered. Hereby, using chance constraints programming, we propose a mixed integer stochastic model with a view to minimizing the risk of crop quality degradation under the climate uncertainty with a safe confidence level.