Stochastic programming problems in which there are linear constraints containing one discrete random variable among either the technical coefficients or the resource (which are all positive), and non-negativity constraints for the variables, are studied. First, the case of just one linear...

Extreme meteorological events have increased over the last decades and it is widely accepted that it is due to climate change (IPCC, 2007; Beniston et al., 2007). Some of these extremes, like drought or frost episodes largely affect agricultural outputs and risk management becomes crucial. The goal...

Extreme meteorological events have increased over the last decades and it is widely accepted that it is due to climate change. Some of the extremes, like drought or frost episodes largely affect agricultural outputs and risk management becomes crucial. The goal of this work it is to analyze...

The aim of this study is to analyse the resolution of Stochastic Programming Problems in which the objective function depends on parameters which are continuous random variables with a known distribution probability. In the literature on these questions different solution concepts have been...

We present a simple dynamic model to get some key insights about the substitution of renewable for nonrenewable resources in production and the consequences for sustainability. We highlight the role of the elasticity of substitution (technological component) to determine the adjustment of every...

In this work, we deal with obtaining efficient solutions for stochastic multiobjective programming problems. In general, these solutions are obtained in two stages: in one of them, the stochastic problem is transformed into its equivalent deterministic problem, and in the other one, some of the...