Mostrar el registro sencillo del ítem
dc.contributor.author | Andrés Navarro, Beatriz | es_ES |
dc.contributor.author | Sanchis, Raquel | es_ES |
dc.contributor.author | Poler, Raúl | es_ES |
dc.contributor.author | Díaz-Madroñedo, Manuel | es_ES |
dc.contributor.author | Mula, Josefa | es_ES |
dc.date.accessioned | 2018-04-04T10:46:15Z | |
dc.date.available | 2018-04-04T10:46:15Z | |
dc.date.issued | 2018-01-31 | |
dc.identifier.issn | 2340-5317 | |
dc.identifier.uri | http://hdl.handle.net/10251/100018 | |
dc.description.abstract | [EN] The goal of C2NET European H2020 Funded Project is the creation of cloud-enabled tools for supporting the SMEs supply network optimization of manufacturing and logistic assets based on collaborative demand, production and delivery plans. In the scope of C2NET Project, and particularly in the Optimisation module (C2NET OPT), this paper proposes a novel holistic mixed integer linear programing (MILP) model to optimise the injection sequencing in a multi-machine case. The results of the MILP will support the production planner decision-making process in the calculation of (i) moulds setup in certain machines, and (ii) the amount of products to produce in order to minimise the setup, inventory, and backorders costs. The designed MILP takes part of the algorithms repository created in C2NET European Funded Project to solve realistic industry planning problems. The MILP is verified in realistic data considering three data sets with different sizes, in order to test it’s the computation efficiency. | es_ES |
dc.description.sponsorship | European Union's Horizon research and innovation programme | |
dc.language | Inglés | es_ES |
dc.publisher | Universitat Politècnica de València | |
dc.relation | EU/H2020 - 63690 | |
dc.relation.ispartof | International Journal of Production Management and Engineering | |
dc.rights | Reconocimiento - No comercial - Sin obra derivada (by-nc-nd) | es_ES |
dc.subject | MILP | es_ES |
dc.subject | Sequencing | es_ES |
dc.subject | Injection | es_ES |
dc.subject | Moulds | es_ES |
dc.subject | Multi-machine | es_ES |
dc.subject | Automotive | es_ES |
dc.title | A MILP for multi-machine injection moulding sequencing in the scope of C2NET Project | es_ES |
dc.type | Artículo | es_ES |
dc.date.updated | 2018-04-04T10:11:02Z | |
dc.identifier.doi | 10.4995/ijpme.2018.8913 | |
dc.relation.projectID | info:eu-repo/grantAgreement/EC/H2020/636909/EU/Cloud Collaborative Manufacturing Networks (C2NET)/ | |
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.contributor.affiliation | Universitat Politècnica de València. Departamento de Organización de Empresas - Departament d'Organització d'Empreses | es_ES |
dc.contributor.affiliation | Universitat Politècnica de València. Centro de Investigación en Gestión e Ingeniería de Producción - Centre d'Investigació en Gestió i Enginyeria de Producció | es_ES |
dc.description.bibliographicCitation | Andrés Navarro, B.; Sanchis, R.; Poler, R.; Díaz-Madroñedo, M.; Mula, J. (2018). A MILP for multi-machine injection moulding sequencing in the scope of C2NET Project. International Journal of Production Management and Engineering. 6(1):29-36. https://doi.org/10.4995/ijpme.2018.8913 | es_ES |
dc.description.accrualMethod | SWORD | es_ES |
dc.relation.publisherversion | https://doi.org/10.4995/ijpme.2018.8913 | es_ES |
dc.description.upvformatpinicio | 29 | es_ES |
dc.description.upvformatpfin | 36 | es_ES |
dc.type.version | info:eu-repo/semantics/publishedVersion | es_ES |
dc.description.volume | 6 | |
dc.description.issue | 1 | |
dc.identifier.eissn | 2340-4876 | |
dc.contributor.funder | European Commission |