dc.creatorPiedra Jiménez, Frank
dc.creatorNovas, Juan M.
dc.creatorRodriguez, María Analía
dc.date2022-10
dc.date2022
dc.date2023-04-20T12:36:50Z
dc.date.accessioned2023-07-15T10:14:04Z
dc.date.available2023-07-15T10:14:04Z
dc.identifierhttp://sedici.unlp.edu.ar/handle/10915/151835
dc.identifierhttps://publicaciones.sadio.org.ar/index.php/JAIIO/article/download/348/289
dc.identifierissn:2451-7496
dc.identifier.urihttps://repositorioslatinoamericanos.uchile.cl/handle/2250/7491089
dc.descriptionThe Forest Biorefinery Supply Chain (FBSC) redesign problem is addressed. A Generalized Disjunctive Programming (GDP) model is constructed and it is reformulated as Mixed Integer Linear Programming (MILP). The proposed superstructure of FBSC scope (i) the strategic location of forest biomassbased biofuel facilities, and its integration with installed traditional forest industries.In addition, the model determine (ii) feedstock harvesting amount at each forest area; and (iii) transportation flows along all FBSC arcs over a multi-period horizon planning. The applicability of the proposed model is demonstrated through a case study considering different uncertainty settings. A series of sensitivity analyses is performed to determine the impact of variations on the proposedFBSC. The variations in the selling price of products, biomass availability, and demand of products are addressed in the sensitivity analysis.
dc.descriptionSociedad Argentina de Informática e Investigación Operativa
dc.formatapplication/pdf
dc.format145-155
dc.languageen
dc.rightshttp://creativecommons.org/licenses/by-nc-sa/4.0/
dc.rightsCreative Commons Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0)
dc.subjectCiencias Informáticas
dc.subjectSupply Chain Redesign
dc.subjectForest Biorefinery
dc.subjectSensitivity Analyses
dc.titleStrategic redesign of the forest-based biomass supply chain through optimization and sensitivity analysis
dc.typeObjeto de conferencia
dc.typeObjeto de conferencia


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