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dc.contributor.author
Alemany, M. M. E.
dc.contributor.author
Esteso, Ana
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Ortiz, A.
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Hernandez, J. E.
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Fernandez, A.
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Garrido, Alejandra
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Martin, Jonathan
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Liu, S.
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Zhao, G.
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Guyon, C.
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Iannacone, R.
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Hernandez, Jorge E.
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Kacprzyk, Janusz
dc.date.available
2021-06-18T13:53:51Z
dc.date.issued
2020
dc.identifier.citation
Alemany, M. M. E.; Esteso, Ana; Ortiz, A.; Hernandez, J. E.; Fernandez, A.; et al.; A conceptual framework for crop-based agri-food supply chain characterization under uncertainty; Springer; 1; 2020; 19-33
dc.identifier.isbn
978-3-030-51047-3
dc.identifier.uri
http://hdl.handle.net/11336/134551
dc.description.abstract
Crop-based Agri-food Supply Chains (AFSCs) are complex systems that face multiple sources of uncertainty that can cause a significant imbalance between supply and demand in terms of product varieties, quantities, qualities, customer requirements, times and prices, all of which greatly complicate their management. Poor management of these sources of uncertainty in these AFSCs can have negative impact on quality, safety, and sustainability by reducing the logistic efficiency and increasing the waste. Therefore, it becomes crucial to develop models in order to deal with the key sources of uncertainty. For this purpose, it is necessary to precisely understand and define the problem under study. Even, the characterisation process of this domains is also a difficult and time-consuming task, especially when the right directions and standards are not in place. In this chapter, a Conceptual Framework is proposed that systematically collects those aspects that are relevant for an adequate crop-based AFSC management under uncertainty.
dc.format
application/pdf
dc.language.iso
eng
dc.publisher
Springer
dc.rights
info:eu-repo/semantics/restrictedAccess
dc.rights.uri
https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
dc.subject
CROP-BASED AGRI-FOOD SUPPLY CHAIN
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CONCEPTUAL FRAMEWORK
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UNCERTAINTY
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MANAGEMENT
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Ciencias de la Computación
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Ciencias de la Computación e Información
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CIENCIAS NATURALES Y EXACTAS
dc.title
A conceptual framework for crop-based agri-food supply chain characterization under uncertainty
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
2021-06-04T17:04:17Z
dc.journal.volume
1
dc.journal.pagination
19-33
dc.journal.pais
Reino Unido
dc.description.fil
Fil: Alemany, M. M. E.. Universidad Politécnica de Valencia; España
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Fil: Esteso, Ana. Universidad Politécnica de Valencia; España
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Fil: Ortiz, A.. Universidad Politécnica de Valencia; España
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Fil: Hernandez, J. E.. University of Liverpool; Reino Unido
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Fil: Fernandez, A.. Universidad Nacional de La Plata. Facultad de Informática. Laboratorio de Investigación y Formación en Informática Avanzada; Argentina
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Fil: Garrido, Alejandra. Universidad Nacional de La Plata. Facultad de Informática. Laboratorio de Investigación y Formación en Informática Avanzada; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - La Plata; Argentina
dc.description.fil
Fil: Martin, Jonathan. Universidad Nacional de La Plata. Facultad de Informática. Laboratorio de Investigación y Formación en Informática Avanzada; Argentina
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Fil: Liu, S.. University of Plymouth; Reino Unido
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Fil: Zhao, G.. University Of Plymouth; Reino Unido
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Fil: Guyon, C.. Bretagne Development Innovation; Francia
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Fil: Iannacone, R.. Agenzia Lucana Di Sviluppo e Innovazione in Agricoltura; Italia
dc.relation.alternativeid
info:eu-repo/semantics/altIdentifier/url/https://link.springer.com/chapter/10.1007/978-3-030-51047-3_2
dc.relation.alternativeid
info:eu-repo/semantics/altIdentifier/doi/https://doi.org/10.1007/978-3-030-51047-3_2
dc.conicet.paginas
110
dc.source.titulo
Agriculture Value Chain - Challenges and Trends in Academia and Industry
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