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dc.contributor.author | Sanchis, R.![]() |
es_ES |
dc.contributor.author | Andres, B.![]() |
es_ES |
dc.contributor.author | Poler, R.![]() |
es_ES |
dc.contributor.author | Mula, Josefa![]() |
es_ES |
dc.contributor.author | Díaz-Madroñero Boluda, Francisco Manuel![]() |
es_ES |
dc.date.accessioned | 2019-05-17T20:01:33Z | |
dc.date.available | 2019-05-17T20:01:33Z | |
dc.date.issued | 2018 | es_ES |
dc.identifier.issn | 1132-175X | es_ES |
dc.identifier.uri | http://hdl.handle.net/10251/120631 | |
dc.description.abstract | [EN] Today's lack of competitiveness of European enterprises has led to the Cloud Collaborative Manufacturing Networks (C2NET) European funded project to develop an optimisation solution to provide enterprises, particularly small-and medium sized ones (SMEs), affordable and easy-to-use means to optimise their planning activities to improve their efficiency and competitiveness. This paper focuses on the C2NET optimisation solu-tion, constituted mainly by C2NET Optimiser module components: (i) optimisation algorithms; (ii) the solver manager; (iii) the optimisation problem configurator; (iv) processes of the optimisation of manufacturing assets manager. To perform optimisation, it is necessary to provide the previous components with the needed input data, which can be done within the data collection framework module by defining a standardised data model (STables). Another data model is defined to show optimisation results to SMEs, namely the plan data model (PTables). The C2NET Optimisation Solution supports manufacturing networks, especially those composed of SMEs, and is based on the optimisation of manufacturing and logistics assets by the single and/or collaborative computation of production, replenishment and delivery plans. | es_ES |
dc.description.sponsorship | The research that led to these results forms part of the "Cloud Collaborative Manufacturing Networks" (C2NET) Project, which has received funding from the EU Horizon 2020 Research and Innovation Programme with grant agreement No. 63690. | |
dc.language | Inglés | es_ES |
dc.publisher | Universidad Politécnica de Madrid. Centro de Estudios de Planificación y Administración de Empresas | es_ES |
dc.relation.ispartof | Direccion y Organizacion | es_ES |
dc.rights | Reserva de todos los derechos | es_ES |
dc.subject | Optimisation algorithms | es_ES |
dc.subject | C2NET | es_ES |
dc.subject | Standardised | es_ES |
dc.subject | Data model | es_ES |
dc.subject.classification | ORGANIZACION DE EMPRESAS | es_ES |
dc.title | The C2NET Optimisation Solution | es_ES |
dc.type | Artículo | es_ES |
dc.relation.projectID | info:eu-repo/grantAgreement/EC/H2020/636909/EU/Cloud Collaborative Manufacturing Networks (C2NET)/ | es_ES |
dc.rights.accessRights | Abierto | es_ES |
dc.contributor.affiliation | Universitat Politècnica de València. Departamento de Organización de Empresas - Departament d'Organització d'Empreses | es_ES |
dc.description.bibliographicCitation | Sanchis, R.; Andres, B.; Poler, R.; Mula, J.; Díaz-Madroñero Boluda, FM. (2018). The C2NET Optimisation Solution. Direccion y Organizacion. 64:36-41. http://hdl.handle.net/10251/120631 | es_ES |
dc.description.accrualMethod | S | es_ES |
dc.relation.publisherversion | https://www.revistadyo.com/index.php/dyo/index | es_ES |
dc.description.upvformatpinicio | 36 | es_ES |
dc.description.upvformatpfin | 41 | es_ES |
dc.type.version | info:eu-repo/semantics/publishedVersion | es_ES |
dc.description.volume | 64 | es_ES |
dc.relation.pasarela | S\354656 | es_ES |
dc.contributor.funder | European Commission | es_ES |