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Roadmap for Resilient Networks Building Through Artificial Intelligence

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Roadmap for Resilient Networks Building Through Artificial Intelligence

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dc.contributor.author Arias, Marco Antonio es_ES
dc.contributor.author Sanchis, R. es_ES
dc.contributor.author Poler, R. es_ES
dc.date.accessioned 2024-12-12T19:04:10Z
dc.date.available 2024-12-12T19:04:10Z
dc.date.issued 2023-09-19 es_ES
dc.identifier.issn 1868-4238 es_ES
dc.identifier.uri http://hdl.handle.net/10251/212873
dc.description.abstract [EN] The business environment around the world continues to face disruptive events of varying magnitude and origin, and as a result, many companies and supply chains often struggle to overcome them. As a solution, resilience has become necessary, not only to be competitive but profitable in the long term. To build resilience, it is critical to define stratagems to enhance its constituent capacities, anticipation, adaptation, and recovery. Recent research studies show that artificial intelligence techniques can be a solution to enhance all these constituent capacities, but implementations are still scarce, and research efforts are dispersed. This work presents a roadmap to help guide research efforts in the quest for resilience, based on a recent literature review. es_ES
dc.description.sponsorship This work was supported by the European Commission under the Erasmus+ Programme within the frame of CONTINUITY Project: Business Continuity Managers Training Platform with Reference No. 2021-1-IT01-KA220-VET-000033287 and the Regional Department of Innovation, Universities, Science and Digital Society of the Generalitat Valenciana within the frame of RESPECT Project: Resilient, Sustainable and People-Oriented Supply Chain 5.0 Optimization Using Hybrid Intelligence with Reference No. CIGE/2021/159. es_ES
dc.language Inglés es_ES
dc.publisher Springer es_ES
dc.relation.ispartof IFIP Advances in Information and Communication Technology es_ES
dc.rights Reserva de todos los derechos es_ES
dc.subject Enterprise Resilience es_ES
dc.subject Supply Chain Resilience es_ES
dc.subject Roadmap es_ES
dc.subject Artificial Intelligence es_ES
dc.subject Disruptive events es_ES
dc.subject.classification ORGANIZACION DE EMPRESAS es_ES
dc.title Roadmap for Resilient Networks Building Through Artificial Intelligence es_ES
dc.type Artículo es_ES
dc.identifier.doi 10.1007/978-3-031-42622-3_12 es_ES
dc.relation.projectID info:eu-repo/grantAgreement/GVA//CIGE%2F2021%2F159/ES/Optimización de cadenas de suministro 5.0 resilientes, sostenibles y orientadas a personas mediante inteligencia híbrida/ es_ES
dc.relation.projectID info:eu-repo/grantAgreement/EC/Erasmus+/2021-1-IT01-KA220-VET-33287/EU/Business Continuity Managers Training Platform/CONTINUITY es_ES
dc.rights.accessRights Abierto es_ES
dc.contributor.affiliation Universitat Politècnica de València. Escuela Politécnica Superior de Alcoy - Escola Politècnica Superior d'Alcoi es_ES
dc.description.bibliographicCitation Arias, MA.; Sanchis, R.; Poler, R. (2023). Roadmap for Resilient Networks Building Through Artificial Intelligence. IFIP Advances in Information and Communication Technology. 688:165-176. https://doi.org/10.1007/978-3-031-42622-3_12 es_ES
dc.description.accrualMethod S es_ES
dc.relation.publisherversion https://doi.org/10.1007/978-3-031-42622-3_12 es_ES
dc.description.upvformatpinicio 165 es_ES
dc.description.upvformatpfin 176 es_ES
dc.type.version info:eu-repo/semantics/publishedVersion es_ES
dc.description.volume 688 es_ES
dc.relation.pasarela S\503863 es_ES
dc.contributor.funder European Commission es_ES
dc.contributor.funder GENERALITAT VALENCIANA es_ES


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