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dc.contributor.author
Massini, Guillermo
dc.contributor.author
Blanco, Anibal Manuel
dc.contributor.author
Petracci, Noemi Cristina
dc.contributor.author
Bandoni, Jose Alberto
dc.contributor.other
Erdogdu, Ferruh
dc.date.available
2021-03-12T19:10:39Z
dc.date.issued
2008
dc.identifier.citation
Massini, Guillermo; Blanco, Anibal Manuel; Petracci, Noemi Cristina; Bandoni, Jose Alberto; Optimal operational planning in the fruit industry supply chain; CRC Press - Taylor & Francis Group; 2008; 701-744
dc.identifier.isbn
978-1-4200-6141-3
dc.identifier.uri
http://hdl.handle.net/11336/128265
dc.description.abstract
In the present contribution, an operational planning framework for a typical FISC is proposed, which explicitly considers the unique operational features of FISC systems, in particular the meaningful uncertainty in the quality and quantity of the raw material (fresh fruit from farms) and the possibility of supply chain Erdogdu/Optimization in Food Engineering 61410_C031 Page Proof page 703 10.7.2008 6:12pm Compositor Name: DeShanthi Optimal Operational Planning in the Fruit Industry Supply Chain 703 disruption episodes. The proposed methodology implements a Model Predictive Control philosophy. The chapter is structured as follows. In the following section the existing operational optimization approaches for supply chain systems are reviewed. In Section 31.3, the chosen study case, a large company that operates several nodes within the Argentinean FISC, is described and the corresponding model is presented. In Section 31.4, the proposed operational planning scheme is introduced. Results are presented and discussed in Section 31.5. The chapter closes with a conclusion and future work (Section 31.6).
dc.format
application/pdf
dc.language.iso
eng
dc.publisher
CRC Press - Taylor & Francis Group
dc.rights
info:eu-repo/semantics/restrictedAccess
dc.rights.uri
https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
dc.subject
PLANNING
dc.subject
SUPPLY CHAIN
dc.subject.classification
Ingeniería de Procesos Químicos
dc.subject.classification
Ingeniería Química
dc.subject.classification
INGENIERÍAS Y TECNOLOGÍAS
dc.title
Optimal operational planning in the fruit industry supply chain
dc.type
info:eu-repo/semantics/publishedVersion
dc.type
info:eu-repo/semantics/bookPart
dc.type
info:ar-repo/semantics/parte de libro
dc.date.updated
2020-08-04T19:14:21Z
dc.journal.pagination
701-744
dc.journal.pais
Estados Unidos
dc.journal.ciudad
Boca Ratón
dc.description.fil
Fil: Massini, Guillermo. Universidad Nacional del Comahue; Argentina
dc.description.fil
Fil: Blanco, Anibal Manuel. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Bahía Blanca. Planta Piloto de Ingeniería Química. Universidad Nacional del Sur. Planta Piloto de Ingeniería Química; Argentina
dc.description.fil
Fil: Petracci, Noemi Cristina. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Bahía Blanca. Planta Piloto de Ingeniería Química. Universidad Nacional del Sur. Planta Piloto de Ingeniería Química; Argentina
dc.description.fil
Fil: Bandoni, Jose Alberto. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Bahía Blanca. Planta Piloto de Ingeniería Química. Universidad Nacional del Sur. Planta Piloto de Ingeniería Química; Argentina
dc.relation.alternativeid
info:eu-repo/semantics/altIdentifier/url/https://www.taylorfrancis.com/chapters/chapte-31-opt-imal-operational-planni-ng-fruit-indust-ry-su-pply-cha-ferruh-erdogdu/10.1201/9781420061420-40?context=ubx&refId=a3ee1b6d-5530-4590-9a48-1a933dac567d
dc.relation.alternativeid
info:eu-repo/semantics/altIdentifier/doi/https://doi.org/10.1201/9781420061420
dc.conicet.paginas
777
dc.source.titulo
Optimization in Food Engineering
dc.conicet.nroedicion
1a.
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