Abstract
The aim of this paper is to analyze different strategies for the solution of a two-stage stochastic problem applied to a copper flotation circuit. In the optimization problem, we want to find the optimal configuration of a superstructure, equipment design and operational conditions such as residence time and stream flows, among others variables. Variability is considered in the copper price and ore grade. This variability is represented by scenarios with respective probabilities of occurrence. Two solution strategies are compared. As a first step, we solve the fully adaptable model, and then two partially adaptive strategies are analyzed. One of the partially adaptive models delivers the best profit, and it is closer to the reality of the operation.
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