Design and planning of infrastructures for bioethanol and sugar production under demand uncertainty

Autores
Kostin, Andrey M.; Guillén Gosálbez, Gonzalo; Mele, Fernando Daniel; Bagajewicz, Miguel J.; Jiménez Esteller, Laureano
Año de publicación
2012
Idioma
inglés
Tipo de recurso
artículo
Estado
versión publicada
Descripción
In this paper, we address the strategic planning of integrated bioethanol–sugar supply chains (SC) under uncertainty in the demand. The design task is formulated as a multi-scenario mixed-integer linear programming (MILP) problem that decides on the capacity expansions of the production and storage facilities of the network over time along with the associated planning decisions (i.e., production rates, sales, etc.). The MILP model seeks to optimize the expected performance of the SC under several financial risk mitigation options. This consideration gives a rise to a multi-objective formulation, whose solution is given by a set of network designs that respond in different ways to the actual realization of the demand (the uncertain parameter). The capabilities of our approach are demonstrated through a case study based on the Argentinean sugarcane industry. Results include the investment strategy for the optimal SC configuration along with an analysis of the effect of demand uncertainty on the economic performance of several biofuels SC structures.
Fil: Kostin, Andrey M.. Universitat Rovira I Virgili; España
Fil: Guillén Gosálbez, Gonzalo. Universitat Rovira I Virgili; España
Fil: Mele, Fernando Daniel. Universidad Nacional de Tucumán. Facultad de Ciencias Exactas y Tecnología. Departamento de Ingeniería en Procesos y Gestión Industrial; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Tucumán; Argentina
Fil: Bagajewicz, Miguel J.. Oklahoma State University; Estados Unidos
Fil: Jiménez Esteller, Laureano. Universitat Rovira I Virgili; España
Materia
BIOETHANOL SUPPLY CHAIN
FINANCIAL RISK MANAGEMENT
PLANNING
STOCHASTIC PROGRAMMING
SUGAR SUPPLY CHAIN
SUPPLY CHAIN OPTIMIZATION
Nivel de accesibilidad
acceso abierto
Condiciones de uso
https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
Repositorio
CONICET Digital (CONICET)
Institución
Consejo Nacional de Investigaciones Científicas y Técnicas
OAI Identificador
oai:ri.conicet.gov.ar:11336/198566
Acceder
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oai_identifier_str oai:ri.conicet.gov.ar:11336/198566
network_acronym_str CONICETDig
repository_id_str 3498
network_name_str CONICET Digital (CONICET)
spelling Design and planning of infrastructures for bioethanol and sugar production under demand uncertaintyKostin, Andrey M.Guillén Gosálbez, GonzaloMele, Fernando DanielBagajewicz, Miguel J.Jiménez Esteller, LaureanoBIOETHANOL SUPPLY CHAINFINANCIAL RISK MANAGEMENTPLANNINGSTOCHASTIC PROGRAMMINGSUGAR SUPPLY CHAINSUPPLY CHAIN OPTIMIZATIONhttps://purl.org/becyt/ford/2.4https://purl.org/becyt/ford/2In this paper, we address the strategic planning of integrated bioethanol–sugar supply chains (SC) under uncertainty in the demand. The design task is formulated as a multi-scenario mixed-integer linear programming (MILP) problem that decides on the capacity expansions of the production and storage facilities of the network over time along with the associated planning decisions (i.e., production rates, sales, etc.). The MILP model seeks to optimize the expected performance of the SC under several financial risk mitigation options. This consideration gives a rise to a multi-objective formulation, whose solution is given by a set of network designs that respond in different ways to the actual realization of the demand (the uncertain parameter). The capabilities of our approach are demonstrated through a case study based on the Argentinean sugarcane industry. Results include the investment strategy for the optimal SC configuration along with an analysis of the effect of demand uncertainty on the economic performance of several biofuels SC structures.Fil: Kostin, Andrey M.. Universitat Rovira I Virgili; EspañaFil: Guillén Gosálbez, Gonzalo. Universitat Rovira I Virgili; EspañaFil: Mele, Fernando Daniel. Universidad Nacional de Tucumán. Facultad de Ciencias Exactas y Tecnología. Departamento de Ingeniería en Procesos y Gestión Industrial; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Tucumán; ArgentinaFil: Bagajewicz, Miguel J.. Oklahoma State University; Estados UnidosFil: Jiménez Esteller, Laureano. Universitat Rovira I Virgili; EspañaInstitution of Chemical Engineers2012-03info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionhttp://purl.org/coar/resource_type/c_6501info:ar-repo/semantics/articuloapplication/pdfapplication/pdfhttp://hdl.handle.net/11336/198566Kostin, Andrey M.; Guillén Gosálbez, Gonzalo; Mele, Fernando Daniel; Bagajewicz, Miguel J.; Jiménez Esteller, Laureano; Design and planning of infrastructures for bioethanol and sugar production under demand uncertainty; Institution of Chemical Engineers; Chemical Engineering Research & Design; 90; 3; 3-2012; 359-3760263-8762CONICET DigitalCONICETenginfo:eu-repo/semantics/altIdentifier/url/https://www.sciencedirect.com/science/article/abs/pii/S0263876211002656info:eu-repo/semantics/altIdentifier/doi/10.1016/j.cherd.2011.07.013info:eu-repo/semantics/openAccesshttps://creativecommons.org/licenses/by-nc-sa/2.5/ar/reponame:CONICET Digital (CONICET)instname:Consejo Nacional de Investigaciones Científicas y Técnicas2025-09-03T09:51:31Zoai:ri.conicet.gov.ar:11336/198566instacron:CONICETInstitucionalhttp://ri.conicet.gov.ar/Organismo científico-tecnológicoNo correspondehttp://ri.conicet.gov.ar/oai/requestdasensio@conicet.gov.ar; lcarlino@conicet.gov.arArgentinaNo correspondeNo correspondeNo correspondeopendoar:34982025-09-03 09:51:31.726CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicasfalse
dc.title.none.fl_str_mv Design and planning of infrastructures for bioethanol and sugar production under demand uncertainty
title Design and planning of infrastructures for bioethanol and sugar production under demand uncertainty
spellingShingle Design and planning of infrastructures for bioethanol and sugar production under demand uncertainty
Kostin, Andrey M.
BIOETHANOL SUPPLY CHAIN
FINANCIAL RISK MANAGEMENT
PLANNING
STOCHASTIC PROGRAMMING
SUGAR SUPPLY CHAIN
SUPPLY CHAIN OPTIMIZATION
title_short Design and planning of infrastructures for bioethanol and sugar production under demand uncertainty
title_full Design and planning of infrastructures for bioethanol and sugar production under demand uncertainty
title_fullStr Design and planning of infrastructures for bioethanol and sugar production under demand uncertainty
title_full_unstemmed Design and planning of infrastructures for bioethanol and sugar production under demand uncertainty
title_sort Design and planning of infrastructures for bioethanol and sugar production under demand uncertainty
dc.creator.none.fl_str_mv Kostin, Andrey M.
Guillén Gosálbez, Gonzalo
Mele, Fernando Daniel
Bagajewicz, Miguel J.
Jiménez Esteller, Laureano
author Kostin, Andrey M.
author_facet Kostin, Andrey M.
Guillén Gosálbez, Gonzalo
Mele, Fernando Daniel
Bagajewicz, Miguel J.
Jiménez Esteller, Laureano
author_role author
author2 Guillén Gosálbez, Gonzalo
Mele, Fernando Daniel
Bagajewicz, Miguel J.
Jiménez Esteller, Laureano
author2_role author
author
author
author
dc.subject.none.fl_str_mv BIOETHANOL SUPPLY CHAIN
FINANCIAL RISK MANAGEMENT
PLANNING
STOCHASTIC PROGRAMMING
SUGAR SUPPLY CHAIN
SUPPLY CHAIN OPTIMIZATION
topic BIOETHANOL SUPPLY CHAIN
FINANCIAL RISK MANAGEMENT
PLANNING
STOCHASTIC PROGRAMMING
SUGAR SUPPLY CHAIN
SUPPLY CHAIN OPTIMIZATION
purl_subject.fl_str_mv https://purl.org/becyt/ford/2.4
https://purl.org/becyt/ford/2
dc.description.none.fl_txt_mv In this paper, we address the strategic planning of integrated bioethanol–sugar supply chains (SC) under uncertainty in the demand. The design task is formulated as a multi-scenario mixed-integer linear programming (MILP) problem that decides on the capacity expansions of the production and storage facilities of the network over time along with the associated planning decisions (i.e., production rates, sales, etc.). The MILP model seeks to optimize the expected performance of the SC under several financial risk mitigation options. This consideration gives a rise to a multi-objective formulation, whose solution is given by a set of network designs that respond in different ways to the actual realization of the demand (the uncertain parameter). The capabilities of our approach are demonstrated through a case study based on the Argentinean sugarcane industry. Results include the investment strategy for the optimal SC configuration along with an analysis of the effect of demand uncertainty on the economic performance of several biofuels SC structures.
Fil: Kostin, Andrey M.. Universitat Rovira I Virgili; España
Fil: Guillén Gosálbez, Gonzalo. Universitat Rovira I Virgili; España
Fil: Mele, Fernando Daniel. Universidad Nacional de Tucumán. Facultad de Ciencias Exactas y Tecnología. Departamento de Ingeniería en Procesos y Gestión Industrial; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Tucumán; Argentina
Fil: Bagajewicz, Miguel J.. Oklahoma State University; Estados Unidos
Fil: Jiménez Esteller, Laureano. Universitat Rovira I Virgili; España
description In this paper, we address the strategic planning of integrated bioethanol–sugar supply chains (SC) under uncertainty in the demand. The design task is formulated as a multi-scenario mixed-integer linear programming (MILP) problem that decides on the capacity expansions of the production and storage facilities of the network over time along with the associated planning decisions (i.e., production rates, sales, etc.). The MILP model seeks to optimize the expected performance of the SC under several financial risk mitigation options. This consideration gives a rise to a multi-objective formulation, whose solution is given by a set of network designs that respond in different ways to the actual realization of the demand (the uncertain parameter). The capabilities of our approach are demonstrated through a case study based on the Argentinean sugarcane industry. Results include the investment strategy for the optimal SC configuration along with an analysis of the effect of demand uncertainty on the economic performance of several biofuels SC structures.
publishDate 2012
dc.date.none.fl_str_mv 2012-03
dc.type.none.fl_str_mv info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
http://purl.org/coar/resource_type/c_6501
info:ar-repo/semantics/articulo
format article
status_str publishedVersion
dc.identifier.none.fl_str_mv http://hdl.handle.net/11336/198566
Kostin, Andrey M.; Guillén Gosálbez, Gonzalo; Mele, Fernando Daniel; Bagajewicz, Miguel J.; Jiménez Esteller, Laureano; Design and planning of infrastructures for bioethanol and sugar production under demand uncertainty; Institution of Chemical Engineers; Chemical Engineering Research & Design; 90; 3; 3-2012; 359-376
0263-8762
CONICET Digital
CONICET
url http://hdl.handle.net/11336/198566
identifier_str_mv Kostin, Andrey M.; Guillén Gosálbez, Gonzalo; Mele, Fernando Daniel; Bagajewicz, Miguel J.; Jiménez Esteller, Laureano; Design and planning of infrastructures for bioethanol and sugar production under demand uncertainty; Institution of Chemical Engineers; Chemical Engineering Research & Design; 90; 3; 3-2012; 359-376
0263-8762
CONICET Digital
CONICET
dc.language.none.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv info:eu-repo/semantics/altIdentifier/url/https://www.sciencedirect.com/science/article/abs/pii/S0263876211002656
info:eu-repo/semantics/altIdentifier/doi/10.1016/j.cherd.2011.07.013
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
eu_rights_str_mv openAccess
rights_invalid_str_mv https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
dc.format.none.fl_str_mv application/pdf
application/pdf
dc.publisher.none.fl_str_mv Institution of Chemical Engineers
publisher.none.fl_str_mv Institution of Chemical Engineers
dc.source.none.fl_str_mv reponame:CONICET Digital (CONICET)
instname:Consejo Nacional de Investigaciones Científicas y Técnicas
reponame_str CONICET Digital (CONICET)
collection CONICET Digital (CONICET)
instname_str Consejo Nacional de Investigaciones Científicas y Técnicas
repository.name.fl_str_mv CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicas
repository.mail.fl_str_mv dasensio@conicet.gov.ar; lcarlino@conicet.gov.ar
_version_ 1842269099661459456
score 13.13397

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