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Quantitative insights into the integrated push and pull production problem for lean supply chain planning 4.0

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Quantitative insights into the integrated push and pull production problem for lean supply chain planning 4.0

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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 2024-10-03T18:25:06Z
dc.date.available 2024-10-03T18:25:06Z
dc.date.issued 2024-09-01 es_ES
dc.identifier.issn 0020-7543 es_ES
dc.identifier.uri http://hdl.handle.net/10251/209248
dc.description.abstract [EN] Validated quantitative models for lean supply chain planning (LSCP) are still scarce in the literature, particularly because conventional push systems have not been widely integrated and tested with pull systems in sustainable and resilient environments in the Industry 4.0 context. Hence the main contribution of this paper is to develop an optimisation model that is able to contribute to the LSCP with the combination of push and pull strategies. Here we present an integrated just-in-time (JIT) production system with material requirement planning (MRP) for a SC that takes a traditional five level structure based on a mixed-integer linear programming model (MILP) dubbed as LSCP 4.0.The model is able to simultaneously plan the production and inventory of materials and finished goods to satisfy demand from forecasts and firm orders. The selection of alternative suppliers as a proactive measure to face disruptive events is also considered. Furthermore, sustainable practices are included in the objective function for profit maximisation by considering CO2 emissions. This proposal is tested in the footwear sector. The results demonstrate that the combined use of JIT and MRP through a quantitative approach improve performance in leanness, sustainability and resilience by decreasing the bullwhip effect at different SC levels. es_ES
dc.description.sponsorship This work was supported by Generalitat Valenciana [grant numbers: PROMETEO/2021/065 and CIGE/2021/159]; Horizon2020 Framework Programme [grant number 958205]; the MCIN/AEI/10.13039/501100011033 and by European Union Next GenerationEU/PRTR [grant number PDC2022-133957-I00]; and Universidad Tecnica de Ambato. es_ES
dc.language Inglés es_ES
dc.publisher Taylor & Francis es_ES
dc.relation.ispartof International Journal of Production Research es_ES
dc.rights Reconocimiento - No comercial - Sin obra derivada (by-nc-nd) es_ES
dc.subject Lean manufacturing es_ES
dc.subject Sustainability es_ES
dc.subject Supply chain es_ES
dc.subject Resilience es_ES
dc.subject Mixed-integer linear programming es_ES
dc.subject Industry 4.0 es_ES
dc.subject.classification ORGANIZACION DE EMPRESAS es_ES
dc.title Quantitative insights into the integrated push and pull production problem for lean supply chain planning 4.0 es_ES
dc.type Artículo es_ES
dc.identifier.doi 10.1080/00207543.2024.2312205 es_ES
dc.relation.projectID info:eu-repo/grantAgreement/AEI/Plan Estatal de Investigación Científica y Técnica y de Innovación 2021-2023/PDC2022-133957-I00/ES/VALIDACION DE RESULTADOS TRANSFERIBLES DE 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/Industrial Data Services for Quality Control in Smart Manufacturing/ 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/CIUCSD//CIGE%2F2021%2F159/ 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. (2024). Quantitative insights into the integrated push and pull production problem for lean supply chain planning 4.0. International Journal of Production Research. 62(17):6251-6275. https://doi.org/10.1080/00207543.2024.2312205 es_ES
dc.description.accrualMethod S es_ES
dc.relation.publisherversion https://doi.org/10.1080/00207543.2024.2312205 es_ES
dc.description.upvformatpinicio 6251 es_ES
dc.description.upvformatpfin 6275 es_ES
dc.type.version info:eu-repo/semantics/publishedVersion es_ES
dc.description.volume 62 es_ES
dc.description.issue 17 es_ES
dc.relation.pasarela S\508609 es_ES
dc.contributor.funder European Commission es_ES
dc.contributor.funder Generalitat Valenciana es_ES
dc.contributor.funder Agencia Estatal de Investigación es_ES
dc.contributor.funder COMISION DE LAS COMUNIDADES EUROPEA es_ES
dc.contributor.funder Conselleria de Innovación, Universidades, Ciencia y Sociedad Digital, Generalitat Valenciana es_ES
upv.costeAPC 3170 es_ES


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