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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 |