On dealing with strategic and tactical decision levels in forestry planning under uncertainty
Author
dc.contributor.author
Alonso-Ayuso, Antonio
Author
dc.contributor.author
Escudero, Laureano F.
Author
dc.contributor.author
Guignard, Monique
Author
dc.contributor.author
Weintraub Pohorille, Andrés
Admission date
dc.date.accessioned
2020-04-07T22:51:03Z
Available date
dc.date.available
2020-04-07T22:51:03Z
Publication date
dc.date.issued
2020
Cita de ítem
dc.identifier.citation
Computers and Operations Research 115 (2020) 104836
es_ES
Identifier
dc.identifier.other
10.1016/j.cor.2019.104836
Identifier
dc.identifier.uri
https://repositorio.uchile.cl/handle/2250/173847
Abstract
dc.description.abstract
A new scheme for dealing with the uncertainty in the scenario trees is considered in the presence of strategic and tactical stochastic parameters for a dynamic mixed 0-1 optimization model in a forest harvesting network along a time horizon under uncertainty. The strategic level of the model presented in this work is included by a several years time horizon, where the uncertainty lies in the timber production. It is represented in a multistage stochastic scenario tree, such that each stage comprises one or several years. Each node in the strategic tree has associated a multi-period scenario graph, where each period in the stages is related to a summer /winter season. The nodes in the graph represent the tactical uncertainty, whose stochastic parameters are the timber price and demand. The strategic decisions aim to the optimal design of the logistic timber harvesting and distribution network at each first period in the stages. The tactical decisions aim to timber harvesting, stocking and distribution from the stands until the markets at the periods in the stages. The model has been validated by using data from a real-life problem.
es_ES
Patrocinador
dc.description.sponsorship
Complex Engineering Systems Institute, ISCI
ICM-FIC: P05-004-F
Government of Spain
MTM2015-63710-P
RTI2018-094269-B-100
CONICYT grant
PIA/BASAL AFB18003
Comision Nacional de Investigacion Cientifica y Tecnologica (CONICYT)
CONICYT FONDECYT
1170381
1191531