Optimal lot sizing with market selection and stochastic demand

This thesis presents an extension of the market selection problem. In this problem the demand and revenue are said to be known, but in this thesis we present a model for the market selection problem with stochastic demand and revenue. Because this problem is NP-hard, we have to find heuristics to solve this problem for large amount of time periods, scenarios and markets within a reasonable amount of time. Different profit criteria are introduced, so a supplier can choose the profit criterium he likes. We also provide a computational analysis to test the heuristics compared to the mixed integer programming formulation for the different profit criteria.