Strategic redesign of the forest-based biomass supply chain through optimization and sensitivity analysis

Autores
Piedra Jiménez, Frank; Novas, Juan M.; Rodriguez, María Analía
Año de publicación
2022
Idioma
inglés
Tipo de recurso
documento de conferencia
Estado
versión publicada
Descripción
The 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.
Sociedad Argentina de Informática e Investigación Operativa
Materia
Ciencias Informáticas
Supply Chain Redesign
Forest Biorefinery
Sensitivity Analyses
Nivel de accesibilidad
acceso abierto
Condiciones de uso
http://creativecommons.org/licenses/by-nc-sa/4.0/
Repositorio
SEDICI (UNLP)
Institución
Universidad Nacional de La Plata
OAI Identificador
oai:sedici.unlp.edu.ar:10915/151835
Acceder
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network_name_str SEDICI (UNLP)
spelling Strategic redesign of the forest-based biomass supply chain through optimization and sensitivity analysisPiedra Jiménez, FrankNovas, Juan M.Rodriguez, María AnalíaCiencias InformáticasSupply Chain RedesignForest BiorefinerySensitivity AnalysesThe 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.Sociedad Argentina de Informática e Investigación Operativa2022-10info:eu-repo/semantics/conferenceObjectinfo:eu-repo/semantics/publishedVersionObjeto de conferenciahttp://purl.org/coar/resource_type/c_5794info:ar-repo/semantics/documentoDeConferenciaapplication/pdf145-155http://sedici.unlp.edu.ar/handle/10915/151835enginfo:eu-repo/semantics/altIdentifier/url/https://publicaciones.sadio.org.ar/index.php/JAIIO/article/download/348/289info:eu-repo/semantics/altIdentifier/issn/2451-7496info:eu-repo/semantics/openAccesshttp://creativecommons.org/licenses/by-nc-sa/4.0/Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0)reponame:SEDICI (UNLP)instname:Universidad Nacional de La Platainstacron:UNLP2025-09-03T11:11:09Zoai:sedici.unlp.edu.ar:10915/151835Institucionalhttp://sedici.unlp.edu.ar/Universidad públicaNo correspondehttp://sedici.unlp.edu.ar/oai/snrdalira@sedici.unlp.edu.arArgentinaNo correspondeNo correspondeNo correspondeopendoar:13292025-09-03 11:11:09.804SEDICI (UNLP) - Universidad Nacional de La Platafalse
dc.title.none.fl_str_mv Strategic redesign of the forest-based biomass supply chain through optimization and sensitivity analysis
title Strategic redesign of the forest-based biomass supply chain through optimization and sensitivity analysis
spellingShingle Strategic redesign of the forest-based biomass supply chain through optimization and sensitivity analysis
Piedra Jiménez, Frank
Ciencias Informáticas
Supply Chain Redesign
Forest Biorefinery
Sensitivity Analyses
title_short Strategic redesign of the forest-based biomass supply chain through optimization and sensitivity analysis
title_full Strategic redesign of the forest-based biomass supply chain through optimization and sensitivity analysis
title_fullStr Strategic redesign of the forest-based biomass supply chain through optimization and sensitivity analysis
title_full_unstemmed Strategic redesign of the forest-based biomass supply chain through optimization and sensitivity analysis
title_sort Strategic redesign of the forest-based biomass supply chain through optimization and sensitivity analysis
dc.creator.none.fl_str_mv Piedra Jiménez, Frank
Novas, Juan M.
Rodriguez, María Analía
author Piedra Jiménez, Frank
author_facet Piedra Jiménez, Frank
Novas, Juan M.
Rodriguez, María Analía
author_role author
author2 Novas, Juan M.
Rodriguez, María Analía
author2_role author
author
dc.subject.none.fl_str_mv Ciencias Informáticas
Supply Chain Redesign
Forest Biorefinery
Sensitivity Analyses
topic Ciencias Informáticas
Supply Chain Redesign
Forest Biorefinery
Sensitivity Analyses
dc.description.none.fl_txt_mv The 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.
Sociedad Argentina de Informática e Investigación Operativa
description The 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.
publishDate 2022
dc.date.none.fl_str_mv 2022-10
dc.type.none.fl_str_mv info:eu-repo/semantics/conferenceObject
info:eu-repo/semantics/publishedVersion
Objeto de conferencia
http://purl.org/coar/resource_type/c_5794
info:ar-repo/semantics/documentoDeConferencia
format conferenceObject
status_str publishedVersion
dc.identifier.none.fl_str_mv http://sedici.unlp.edu.ar/handle/10915/151835
url http://sedici.unlp.edu.ar/handle/10915/151835
dc.language.none.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv info:eu-repo/semantics/altIdentifier/url/https://publicaciones.sadio.org.ar/index.php/JAIIO/article/download/348/289
info:eu-repo/semantics/altIdentifier/issn/2451-7496
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
http://creativecommons.org/licenses/by-nc-sa/4.0/
Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0)
eu_rights_str_mv openAccess
rights_invalid_str_mv http://creativecommons.org/licenses/by-nc-sa/4.0/
Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0)
dc.format.none.fl_str_mv application/pdf
145-155
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instname:Universidad Nacional de La Plata
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reponame_str SEDICI (UNLP)
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instname_str Universidad Nacional de La Plata
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repository.name.fl_str_mv SEDICI (UNLP) - Universidad Nacional de La Plata
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