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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.