). Moreover with the information provided by the solution of each scenario it is possible to implement more meaningful risk metrics that are both relevant and better understood by the growers. In this paper besides developing the methodology for a SP application for agricultural planning, we apply risk measures that can help farmers to make more robust planning decisions.
One of the main benefits of the work to be presented is that it would provide the farmer with a tool to make decisions based on his/her tolerance to risk and to explore what are the expected worst case scenarios.
2. Background, related works and proposed model
Planning models dealing with perishable products very often fail to incorporate realistic stochastic features present in the different echelons of the fresh produce supply chain