Design and planning of the bioethanol supply chain via simulation-based optimization : The case of Argentina

This paper addresses the strategic planning of bioethanol supply chains (SC) under uncertainty in the demand. The design problem is setting as a reformulation of a multi-scenario mixed-integer linear programming (MILP) problem. It consists in the adoption of a simulation-based optimization scheme to...

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Autores principales: Durand, Guillermo, Mele, Fernando D., Guillén-Gosálbez, Gonzalo, Bandoni, Alberto
Formato: Objeto de conferencia
Lenguaje:Inglés
Publicado: 2012
Materias:
Ciencias Informáticas
Supply chain management
Uncertainty
Sugar cane industry
Acceso en línea:http://sedici.unlp.edu.ar/handle/10915/124573
https://41jaiio.sadio.org.ar/sites/default/files/8_SII_2012.pdf
Aporte de:
SEDICI (UNLP) de Universidad Nacional de La Plata
id I19-R120-10915-124573
record_format dspace
institution Universidad Nacional de La Plata
institution_str I-19
repository_str R-120
collection SEDICI (UNLP)
language Inglés
topic Ciencias Informáticas
Supply chain management
Uncertainty
Sugar cane industry
spellingShingle Ciencias Informáticas
Supply chain management
Uncertainty
Sugar cane industry
Durand, Guillermo
Mele, Fernando D.
Guillén-Gosálbez, Gonzalo
Bandoni, Alberto
Design and planning of the bioethanol supply chain via simulation-based optimization : The case of Argentina
topic_facet Ciencias Informáticas
Supply chain management
Uncertainty
Sugar cane industry
description This paper addresses the strategic planning of bioethanol supply chains (SC) under uncertainty in the demand. The design problem is setting as a reformulation of a multi-scenario mixed-integer linear programming (MILP) problem. It consists in the adoption of a simulation-based optimization scheme to accommodate the variables belonging to different management levels. The strategy supports decisions 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 capability of the approach is demonstrated through a case study based on the Argentinean sugarcane industry. Results include the investment strategy for the optimal SC configuration.
format Objeto de conferencia
Objeto de conferencia
author Durand, Guillermo
Mele, Fernando D.
Guillén-Gosálbez, Gonzalo
Bandoni, Alberto
author_facet Durand, Guillermo
Mele, Fernando D.
Guillén-Gosálbez, Gonzalo
Bandoni, Alberto
author_sort Durand, Guillermo
title Design and planning of the bioethanol supply chain via simulation-based optimization : The case of Argentina
title_short Design and planning of the bioethanol supply chain via simulation-based optimization : The case of Argentina
title_full Design and planning of the bioethanol supply chain via simulation-based optimization : The case of Argentina
title_fullStr Design and planning of the bioethanol supply chain via simulation-based optimization : The case of Argentina
title_full_unstemmed Design and planning of the bioethanol supply chain via simulation-based optimization : The case of Argentina
title_sort design and planning of the bioethanol supply chain via simulation-based optimization : the case of argentina
publishDate 2012
url http://sedici.unlp.edu.ar/handle/10915/124573
https://41jaiio.sadio.org.ar/sites/default/files/8_SII_2012.pdf
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