Stochastic optimization models in forest planning: a progressive hedging solution approach

Artículo de publicación ISIWe consider the important problem of medium term forest planning with an integrated approach considering both harvesting and road construction decisions in the presence of uncertainty modeled as a multi-stage problem.We give strengthening methods that enable the solution of problems with many more scenarios than previously reported in the literature. Furthermore, we demonstrate that a scenario-based decompositionmethod (Progressive Hedging) is competitive with direct solution of the extensive form, even on a serial computer. Computational results based on a real-world example are presented.This research was financed in part by the Complex Engineering Systems Institute (ICM:P-05-004-F, CONICYT: FBO16), and by Fondecyt under Grant 1120318