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dc.contributor.author | Andres, B. | es_ES |
dc.contributor.author | Sanchis, R. | es_ES |
dc.contributor.author | Poler, R. | es_ES |
dc.contributor.author | Saari, Leila | es_ES |
dc.date.accessioned | 2018-05-12T04:17:35Z | |
dc.date.available | 2018-05-12T04:17:35Z | |
dc.date.issued | 2017 | es_ES |
dc.identifier.issn | 1868-4238 | es_ES |
dc.identifier.uri | http://hdl.handle.net/10251/101791 | |
dc.description.abstract | [EN] The growing amount of data to be handled by collaborative networks raises the need of introducing innovative solutions to fulfil the lack of affordable tools, especially for Small and Medium-Sized Enterprises, to manage and exchange data. The European H2020 Project Cloud Collaborative Manufacturing Networks develops and offers a structured data model, called Standardised Tables, as an organised framework to jointly work with existing databases to manage big data collected from different industries belonging to the CNs. The information of the Standardised Tables will be mainly used with optimisation and collaboration purposes. The paper describes an application of the Standardised Tables in one of the pilots of the aforementioned project, the automotive industry pilot, for solving the collaborative problem of a Materials Requirement Plan. | es_ES |
dc.description.sponsorship | The research leading to these results is in the frame of the “Cloud Collaborative Manufacturing Networks” (C2NET) project, which has received funding from the European Union’s Horizon 2020 research and innovation programme under grant agreement No. 636909. | |
dc.language | Inglés | es_ES |
dc.publisher | Springer | es_ES |
dc.relation.ispartof | IFIP Advances in Information and Communication Technology | es_ES |
dc.rights | Reserva de todos los derechos | es_ES |
dc.subject | Standardised data model | es_ES |
dc.subject | Management information systems | es_ES |
dc.subject | Manufacturing | es_ES |
dc.subject | Data handling | es_ES |
dc.subject | Modelling | es_ES |
dc.subject | cloud | es_ES |
dc.subject | Collaborative networks | es_ES |
dc.subject.classification | ORGANIZACION DE EMPRESAS | es_ES |
dc.title | A Proposal of Standardised Data Model for Cloud Manufacturing Collaborative Networks | es_ES |
dc.type | Artículo | es_ES |
dc.type | Comunicación en congreso | es_ES |
dc.identifier.doi | 10.1007/978-3-319-65151-4_7 | 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 | Andres, B.; Sanchis, R.; Poler, R.; Saari, L. (2017). A Proposal of Standardised Data Model for Cloud Manufacturing Collaborative Networks. IFIP Advances in Information and Communication Technology. 560:77-85. https://doi.org/10.1007/978-3-319-65151-4_7 | es_ES |
dc.description.accrualMethod | S | es_ES |
dc.relation.conferencename | 18th IFIP Working Conference on Virtual Enterprises (PRO-VE 2017) | es_ES |
dc.relation.conferencedate | September 18-20,2017 | es_ES |
dc.relation.conferenceplace | Vicenza, Italy | es_ES |
dc.relation.publisherversion | https://doi.org/10.1007/978-3-319-65151-4_7 | es_ES |
dc.description.upvformatpinicio | 77 | es_ES |
dc.description.upvformatpfin | 85 | es_ES |
dc.type.version | info:eu-repo/semantics/publishedVersion | es_ES |
dc.description.volume | 560 | es_ES |
dc.relation.pasarela | S\342767 | es_ES |
dc.contributor.funder | European Commission | es_ES |
dc.description.references | Andres, B., Poler, R.: Models, guidelines and tools for the integration of collaborative processes in non-hierarchical manufacturing networks: a review. Int. J. Comput. Integr. Manuf. 2(29), 166–201 (2016) | es_ES |
dc.description.references | Zikopoulos, P., Eaton, C.: Understanding Big Data: Analytics for Enterprise Class Hadoop and Streaming Data. McGraw-Hill Osborne Media, New York (2011) | es_ES |
dc.description.references | Zhou, B., Wang, S., Xi, L.: Data model design for manufacturing execution system. J. Manuf. Technol. Manag. 16(8), 909–935 (2005) | es_ES |
dc.description.references | Steven, W.: Getting the MES model – methods for system analysis. ISA Trans. 35(2), 95–103 (1996) | es_ES |
dc.description.references | Reda, A.: Extracting the extended entity-relationship model from a legacy relational database. Inf. Syst. 28(6), 597–618 (2003) | es_ES |
dc.description.references | Teorey, T.J., Yang, D., Fry, J.P.: A logical design methodology for relational database using the extended entity-relationship model. ACM Comput. Surv. 18(2), 197–222 (1986) | es_ES |
dc.description.references | Victor, M., Arie, S.: Representing extended entity-relationship structures in relational databases: a modular approach. ACM Trans. Database Syst. 17(3), 423–464 (1992) | es_ES |
dc.description.references | CORDIS Europa, Factories of the Future, H2020-EU.2.1.5.1. - Technologies for Factories of the Future (2014) | es_ES |
dc.description.references | H2020 Project C2NET (2015). http://cordis.europa.eu/project/rcn/193440_en.html | es_ES |
dc.description.references | Andres, B., Sanchis, R., Poler, R.: A cloud platform to support collaboration in supply networks. Int. J. Prod. Manag. Eng. 4(1), 5–13 (2016) | es_ES |
dc.description.references | APICS, “SCOR Framework,” Supply Chain Operations Reference model (SCOR) (2017) | es_ES |
dc.description.references | Orbegozo, A., Andres, B., Mula, J., Lauras, M., Monteiro, C., Malheiro, M.: An overview of optimization models for integrated replenishment and producction planning decisions. In: Building Bridges Between Researchers and Practitioners. Book of Abstracts of the International Joint Conference CIO-ICIEOM-IISE-AIM (IJC2016), p. 68 (2016) | es_ES |
dc.description.references | Andres, B., Poler, R., Saari, L., Arana, J., Benaches, J.V., Salazar, J.: Optimization models to support decision-making in collaborative networks: a review. In: Building Bridges Between Researchers and Practitioners. Book of Abstracts of the International Joint Conference CIO-ICIEOM-IISE-AIM (IJC2016), p. 70 (2016) | es_ES |
dc.description.references | Andres, B., Sanchis, R., Lamothe, J., Saari, L., Hauser, F.: Combined models for production and distribution planning in a supply chain. In: Building Bridges Between Researchers and Practitioners. Book of Abstracts of the International Joint Conference CIO-ICIEOM-IISE-AIM (IJC2016), p. 71 (2016) | es_ES |