Background: The soybean market is representative of the world. Brazil is the largest producer and exporter of this crop … document analysis and a case study. Results: This paper proposes a new two-stage stochastic linear programming model with fixed … prices of raw agricultural products on the spot market, the probability of crop failure, and the external demand. Conclusions …

The majority of stochastic vehicle routing models consider travel times to be independent. However, in reality, travel … times are often stochastic and correlated, such as in urban areas. We examine a vehicle routing problem with a makespan … objective incorporating both stochastic and correlated travel times. We develop an approach based on extreme-value theory to …

benefit of the stochastic model is highlighted: our results show that the the information about future, uncertain orders … contained in the stochastic part of the horizon can be used to generate improved profits. Robustness against misspecified …

Purpose: This paper aims to propose a new model called the stochastic green capacitated p-median problem with a … simulation-based optimisation for the stochastic green capacitated p-median problem. There are two main contributions in this …, to design a simulation-based optimisation approach to solve the stochastic green capacitated p-median problem …

strategic organization of producers and the access to the market, which give producers a weak capacity to compete, and thus … favoring imports to the country. To analyze competitiveness, stochastic models were used to determine the efficiency of … structures and without commercial agreements that facilitate market access. …