Mostrar el registro sencillo del ítem
dc.contributor.author | Cañas, Héctor | es_ES |
dc.contributor.author | Mula, Josefa | es_ES |
dc.contributor.author | Díaz-Madroñero Boluda, Francisco Manuel | es_ES |
dc.contributor.author | Campuzano-Bolarín, Francisco | es_ES |
dc.date.accessioned | 2022-10-03T18:05:48Z | |
dc.date.available | 2022-10-03T18:05:48Z | |
dc.date.issued | 2021-08 | es_ES |
dc.identifier.issn | 0360-8352 | es_ES |
dc.identifier.uri | http://hdl.handle.net/10251/186856 | |
dc.description.abstract | [EN] This article identifies the advances, advantages, limitations, requirements and current methodologies in implementing the strategic Industry 4.0 (I4.0) initiative. It focuses on all research works mainly on production planning. To do so, it proposes a taxonomy of the principles of I4.0 design terms that contemplates the following classification aspects: interconnection/connectivity, decentralised decision making, technical assistance, the human factor, intelligence/awareness, interoperability, information transparency, technology, organisation, conceptual frameworks and production planning. It also presents the models, algorithms, heuristics and metaheuristics of the components used in relation to an I4.0 setting. Finally, a considerable number of reference conceptual frameworks is analysed, which allow the term I4.0 to be defined. | es_ES |
dc.description.sponsorship | This work was supported by the Spanish Ministry of Science, Innovation and Universities project entitled 'Optimisation of zero-defects production technologies enabling supply chains 4.0 (CADS4.0)' (RTI2018-101344-B-I00) and the European Union H2020 Program under grant agreement No. 958205 "Industrial Data Services for Quality Control in Smart Manufacturing (i4Q)". | es_ES |
dc.language | Inglés | es_ES |
dc.publisher | Elsevier | es_ES |
dc.relation.ispartof | Computers & Industrial Engineering | es_ES |
dc.rights | Reserva de todos los derechos | es_ES |
dc.subject | Digital manufacturing | es_ES |
dc.subject | Industry 4.0 | es_ES |
dc.subject | Smart factory | es_ES |
dc.subject | Production planning | es_ES |
dc.subject.classification | ORGANIZACION DE EMPRESAS | es_ES |
dc.title | Implementing Industry 4.0 principles | es_ES |
dc.type | Artículo | es_ES |
dc.identifier.doi | 10.1016/j.cie.2021.107379 | es_ES |
dc.relation.projectID | info:eu-repo/grantAgreement/AEI/Plan Estatal de Investigación Científica y Técnica y de Innovación 2017-2020/RTI2018-101344-B-I00/ES/OPTIMIZACION DE TECNOLOGIAS DE PRODUCCION CERO-DEFECTOS HABILITADORAS PARA CADENAS DE SUMINISTRO 4.0/ | es_ES |
dc.relation.projectID | info:eu-repo/grantAgreement/EC/H2020/958205/EU | es_ES |
dc.rights.accessRights | Cerrado | es_ES |
dc.contributor.affiliation | Universitat Politècnica de València. Departamento de Organización de Empresas - Departament d'Organització d'Empreses | es_ES |
dc.description.bibliographicCitation | Cañas, H.; Mula, J.; Díaz-Madroñero Boluda, FM.; Campuzano-Bolarín, F. (2021). Implementing Industry 4.0 principles. Computers & Industrial Engineering. 158:1-17. https://doi.org/10.1016/j.cie.2021.107379 | es_ES |
dc.description.accrualMethod | S | es_ES |
dc.relation.publisherversion | https://doi.org/10.1016/j.cie.2021.107379 | es_ES |
dc.description.upvformatpinicio | 1 | es_ES |
dc.description.upvformatpfin | 17 | es_ES |
dc.type.version | info:eu-repo/semantics/publishedVersion | es_ES |
dc.description.volume | 158 | es_ES |
dc.relation.pasarela | S\448716 | es_ES |
dc.contributor.funder | AGENCIA ESTATAL DE INVESTIGACION | es_ES |
dc.contributor.funder | COMISION DE LAS COMUNIDADES EUROPEA | es_ES |
dc.subject.ods | 09.- Desarrollar infraestructuras resilientes, promover la industrialización inclusiva y sostenible, y fomentar la innovación | es_ES |