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Enabling Technologies to Support Supply Chain Logistics 5.0

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Enabling Technologies to Support Supply Chain Logistics 5.0

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dc.contributor.author Andres, B. es_ES
dc.contributor.author Díaz-Madroñero Boluda, Francisco Manuel es_ES
dc.contributor.author Soares, Antonio Lucas es_ES
dc.contributor.author Poler, R. es_ES
dc.date.accessioned 2024-09-27T18:08:36Z
dc.date.available 2024-09-27T18:08:36Z
dc.date.issued 2024 es_ES
dc.identifier.uri http://hdl.handle.net/10251/208942
dc.description.abstract [EN] Industry 5.0 complements the Industry 4.0 approach by enabling the transition of industrydigitization to a sustainable, human-centered and resilient paradigm. This paper delves into the explorationof enabling technologies that facilitate both Industry 4.0 and Industry 5.0 in the context of supporting supplychain (SC) logistics. The paper defines the principles of Logistics 5.0, which focuses on smart logisticssystems for customized distribution, transportation, inventory management and warehousing by emphasizinginterconnectivity, digitization, and optimization across SC operations. The traditional logistics frameworkrequires innovative solutions grounded in emerging Industry 5.0 technologies capable of capturing andprocessing extensive datasets to empower decision-making based on information and knowledge. A com-prehensive research has enabled to critically analyze enabling Industry 5.0 technologies by assessing theirapplication status through real-case scenarios within SC Logistics 5.0. Furthermore, the paper identifiesresearch gaps in the reviewed technologies by outlining promising areas for each Industry 4.0 technology.This guidance aims to direct future studies toward the practical application of technologies in supportingLogistics 5.0. es_ES
dc.description.sponsorship This work was supported in part by European Union Horizon Europe Programme Optimizing production and logistic resources in the time-critical bio production industries in Europe (CLARUS) under Grant 101070076; in part by the Department of Innovation, Universities, Science and Digital Society of the Generalitat Valenciana Industrial Production and Logistics Optimization in Industry 4.0 (i4OPT) under Grant PROMETEO/2021/065; in part by the Valencian Ministry of Innovation, Universities, Science and Digital Society Sustainable and People-Oriented Supply Chain 5.0 Optimization Using Hybrid Intelligence (RESPECT) under Grant CIGE/2021/159; in part by the Directorate-General for Science and Research of the Generalitat Valenciana Stays of doctoral research staff in research centres outside the Valencian Region under Grant BEST/2021/081; and in part by the Vice-Rectorate for Research of Universitat Politècnica de València Intelligent optimization algorithms and models for production planning and replenishment (ATENNEA) under Grant PAID-06-23. es_ES
dc.language Inglés es_ES
dc.publisher Institute of Electrical and Electronics Engineers es_ES
dc.relation.ispartof IEEE Access es_ES
dc.rights Reconocimiento - No comercial - Sin obra derivada (by-nc-nd) es_ES
dc.subject Industry 4.0 es_ES
dc.subject Industry 5.0 es_ES
dc.subject Logistics 5.0 es_ES
dc.subject Supply chain es_ES
dc.subject Sustainability es_ES
dc.subject Technologies es_ES
dc.subject.classification ORGANIZACION DE EMPRESAS es_ES
dc.title Enabling Technologies to Support Supply Chain Logistics 5.0 es_ES
dc.type Artículo es_ES
dc.identifier.doi 10.1109/ACCESS.2024.3374194 es_ES
dc.relation.projectID info:eu-repo/grantAgreement/EC/HE/101070076/EU/Optimizing Production and Logistic Resources in the Time-critical Bio Production Industries in Europe/ es_ES
dc.relation.projectID info:eu-repo/grantAgreement/GENERALITAT VALENCIANA//PROMETEO%2F2021%2F065//Industrial Production and Logistics Optimization in Industry 4.0 (i4OPT) / es_ES
dc.relation.projectID info:eu-repo/grantAgreement/UPV-VIN//PAID-06-23//Algoritmos y modelos inTEligentes de optimizacióN para la planificación la produccióN y el rEaprovisionAmiento (ATENNEA)/ es_ES
dc.relation.projectID info:eu-repo/grantAgreement/GENERALITAT VALENCIANA//CIGE%2F2021%2F159//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/GVA//BEST%2F2021%2F081/ 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 Andres, B.; Díaz-Madroñero Boluda, FM.; Soares, AL.; Poler, R. (2024). Enabling Technologies to Support Supply Chain Logistics 5.0. IEEE Access. 12:43889-43906. https://doi.org/10.1109/ACCESS.2024.3374194 es_ES
dc.description.accrualMethod S es_ES
dc.relation.publisherversion https://doi.org/10.1109/ACCESS.2024.3374194 es_ES
dc.description.upvformatpinicio 43889 es_ES
dc.description.upvformatpfin 43906 es_ES
dc.type.version info:eu-repo/semantics/publishedVersion es_ES
dc.description.volume 12 es_ES
dc.identifier.eissn 2169-3536 es_ES
dc.relation.pasarela S\513503 es_ES
dc.contributor.funder GENERALITAT VALENCIANA es_ES
dc.contributor.funder COMISION DE LAS COMUNIDADES EUROPEA es_ES
dc.contributor.funder UNIVERSIDAD POLITECNICA DE VALENCIA es_ES
upv.costeAPC 1936 es_ES


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