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A conceptual framework for crop-based agri-food supply chain characterization under uncertainty

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A conceptual framework for crop-based agri-food supply chain characterization under uncertainty

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dc.contributor.author Alemany Díaz, María Del Mar es_ES
dc.contributor.author Esteso, Ana es_ES
dc.contributor.author Ortiz Bas, Ángel es_ES
dc.contributor.author Hernández Hormazabal, Jorge Esteban es_ES
dc.contributor.author Fernández, A. es_ES
dc.contributor.author Garrido, A. es_ES
dc.contributor.author Martin, J. es_ES
dc.contributor.author Liu, S. es_ES
dc.contributor.author Zao, G. es_ES
dc.contributor.author Guyon, C. es_ES
dc.contributor.author Iannacone, R. es_ES
dc.date.accessioned 2021-11-05T14:11:14Z
dc.date.available 2021-11-05T14:11:14Z
dc.date.issued 2021 es_ES
dc.identifier.issn 2198-4182 es_ES
dc.identifier.uri http://hdl.handle.net/10251/176449
dc.description.abstract [EN] 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. es_ES
dc.description.sponsorship Authors of this publication acknowledge the contribution of the Project 691249, RUC-APS "Enhancing and implementing Knowledge based ICT solutions within high Risk and Uncertain Conditions for Agriculture Production Systems" (www.ruc-aps.eu), funded by the European Union under their funding scheme H2020-MSCA-RISE-2015 es_ES
dc.language Inglés es_ES
dc.publisher Springer es_ES
dc.relation.ispartof Studies in Systems, Decision and Control es_ES
dc.rights Reserva de todos los derechos es_ES
dc.subject Crop-based agri-food supply chain es_ES
dc.subject Conceptual framework es_ES
dc.subject Uncertainty es_ES
dc.subject Management es_ES
dc.subject.classification ORGANIZACION DE EMPRESAS es_ES
dc.title A conceptual framework for crop-based agri-food supply chain characterization under uncertainty es_ES
dc.type Artículo es_ES
dc.identifier.doi 10.1007/978-3-030-51047-3_2 es_ES
dc.relation.projectID info:eu-repo/grantAgreement/EC/H2020/691249/EU/Enhancing and implementing Knowledge based ICT solutions within high Risk and Uncertain Conditions for Agriculture Production Systems/ es_ES
dc.rights.accessRights Abierto es_ES
dc.contributor.affiliation Universitat Politècnica de València. Departamento de Organización de Empresas - Departament d'Organització d'Empreses es_ES
dc.description.bibliographicCitation Alemany Díaz, MDM.; Esteso, A.; Ortiz Bas, Á.; Hernández Hormazabal, JE.; Fernández, A.; Garrido, A.; Martin, J.... (2021). A conceptual framework for crop-based agri-food supply chain characterization under uncertainty. Studies in Systems, Decision and Control. 280:19-33. https://doi.org/10.1007/978-3-030-51047-3_2 es_ES
dc.description.accrualMethod S es_ES
dc.relation.publisherversion https://doi.org/10.1007/978-3-030-51047-3_2 es_ES
dc.description.upvformatpinicio 19 es_ES
dc.description.upvformatpfin 33 es_ES
dc.type.version info:eu-repo/semantics/publishedVersion es_ES
dc.description.volume 280 es_ES
dc.relation.pasarela S\417039 es_ES
dc.contributor.funder European Commission es_ES
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