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dc.contributor.author | Reyes, John | es_ES |
dc.contributor.author | Mula, Josefa | es_ES |
dc.contributor.author | Díaz-Madroñero Boluda, Francisco Manuel | es_ES |
dc.date.accessioned | 2023-12-05T19:03:30Z | |
dc.date.available | 2023-12-05T19:03:30Z | |
dc.date.issued | 2023-09-10 | es_ES |
dc.identifier.issn | 0953-7287 | es_ES |
dc.identifier.uri | http://hdl.handle.net/10251/200524 | |
dc.description.abstract | [EN] A lean supply chain (LSC) is a set of organizations directly linked by upstream and downstream value streams between processes that work collaboratively to reduce costs and waste. Currently, supply chains (SCs) have been put to the test as the world has had to face a series of unprecedented disruptions in demand and supply caused by the COVID-19 pandemic. In this paper, a detailed study of constructs and multistructural components was carried out to develop a conceptual reference model that merges Industry 4.0 (I4.0) digital technologies with lean manufacturing tools to reduce waste and minimize costs in the lean supply chain planning (LSCP) context. The main theoretical contribution of this conceptual proposal is to establish a structured relation among the lean, agile, sustainable, resilient and flexible paradigms to improve SC performance by implementing I4.0 enabling technologies. The proposed conceptual model, dubbed as LSCP 4.0, is applied and validated with a case study in a large footwear company. It can help decision-makers and researchers to improve the planning and management of digital SC production processes, even with unexpected disruptions. | es_ES |
dc.description.sponsorship | The research leading to these results received funding from the European Union H2020 Program 7with Grant Agreement No. [958205] `Industrial Data Services for Quality Control in Smart Manufacturing (i4Q)' and from the Grant RT I2018-101344-B-I00 `Optimisation of zerodefects production technologies enabling supply chains 4.0 (CADS4.0)' funded by MCIN/AEI/10.13039/501100011033 and by "ERDF A way of making Europe". It also acknowledges the PhD grant from the Technical University of Ambato. | es_ES |
dc.language | Inglés | es_ES |
dc.publisher | Taylor & Francis | es_ES |
dc.relation.ispartof | Production Planning and Control | es_ES |
dc.rights | Reconocimiento - No comercial - Sin obra derivada (by-nc-nd) | es_ES |
dc.subject | Lean manufacturing | es_ES |
dc.subject | Supply chain planning | es_ES |
dc.subject | Industry 4.0 | es_ES |
dc.subject.classification | ORGANIZACION DE EMPRESAS | es_ES |
dc.title | Development of a conceptual model for lean supply chain planning in industry 4.0: multidimensional analysis for operations management | es_ES |
dc.type | Artículo | es_ES |
dc.identifier.doi | 10.1080/09537287.2021.1993373 | 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 | 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 | Reyes, J.; Mula, J.; Díaz-Madroñero Boluda, FM. (2023). Development of a conceptual model for lean supply chain planning in industry 4.0: multidimensional analysis for operations management. Production Planning and Control. 34(12):1209-1224. https://doi.org/10.1080/09537287.2021.1993373 | es_ES |
dc.description.accrualMethod | S | es_ES |
dc.relation.publisherversion | https://doi.org/10.1080/09537287.2021.1993373 | es_ES |
dc.description.upvformatpinicio | 1209 | es_ES |
dc.description.upvformatpfin | 1224 | es_ES |
dc.type.version | info:eu-repo/semantics/publishedVersion | es_ES |
dc.description.volume | 34 | es_ES |
dc.description.issue | 12 | es_ES |
dc.relation.pasarela | S\448771 | es_ES |
dc.contributor.funder | AGENCIA ESTATAL DE INVESTIGACION | es_ES |
dc.contributor.funder | European Regional Development Fund | 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 |
upv.costeAPC | 2994,75 | es_ES |