A proposal of standardised data model for cloud manufacturing collaborative networks

Beatriz Andres (Corresponding author), Raquel Sanchis, Raul Poler, Leila Saari

Research output: Chapter in Book/Report/Conference proceedingConference article in proceedingsScientificpeer-review

3 Citations (Scopus)

Abstract

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.

Original languageEnglish
Title of host publicationIFIP Advances in Information and Communication Technology
PublisherSpringer
Pages77-85
Number of pages9
Volume506
ISBN (Print)9783319651507
DOIs
Publication statusPublished - 1 Jan 2017
MoE publication typeA4 Article in a conference publication
Event18th IFIP WG 5.5 Working Conference on Virtual Enterprises, PRO-VE 2017 - Vicenza, Italy
Duration: 18 Sep 201720 Sep 2017

Publication series

SeriesIFIP Advances in Information and Communication Technology
Volume506
ISSN1868-4238

Conference

Conference18th IFIP WG 5.5 Working Conference on Virtual Enterprises, PRO-VE 2017
Abbreviated titlePRO-VE 2017
CountryItaly
CityVicenza
Period18/09/1720/09/17

Fingerprint

Manufacturing
Collaborative networks
Small and medium-sized enterprises
Data exchange
Manufacturing network
Data base
Collaborative manufacturing
Industry
Automotive industry

Keywords

  • Cloud
  • Collaborative Networks
  • Data handling
  • Management information systems
  • Manufacturing
  • Modelling
  • Standardised data model

Cite this

Andres, B., Sanchis, R., Poler, R., & Saari, L. (2017). A proposal of standardised data model for cloud manufacturing collaborative networks. In IFIP Advances in Information and Communication Technology (Vol. 506, pp. 77-85). Springer. IFIP Advances in Information and Communication Technology, Vol.. 506 https://doi.org/10.1007/978-3-319-65151-4_7
Andres, Beatriz ; Sanchis, Raquel ; Poler, Raul ; Saari, Leila. / A proposal of standardised data model for cloud manufacturing collaborative networks. IFIP Advances in Information and Communication Technology. Vol. 506 Springer, 2017. pp. 77-85 (IFIP Advances in Information and Communication Technology, Vol. 506).
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Andres, B, Sanchis, R, Poler, R & Saari, L 2017, A proposal of standardised data model for cloud manufacturing collaborative networks. in IFIP Advances in Information and Communication Technology. vol. 506, Springer, IFIP Advances in Information and Communication Technology, vol. 506, pp. 77-85, 18th IFIP WG 5.5 Working Conference on Virtual Enterprises, PRO-VE 2017, Vicenza, Italy, 18/09/17. https://doi.org/10.1007/978-3-319-65151-4_7

A proposal of standardised data model for cloud manufacturing collaborative networks. / Andres, Beatriz (Corresponding author); Sanchis, Raquel; Poler, Raul; Saari, Leila.

IFIP Advances in Information and Communication Technology. Vol. 506 Springer, 2017. p. 77-85 (IFIP Advances in Information and Communication Technology, Vol. 506).

Research output: Chapter in Book/Report/Conference proceedingConference article in proceedingsScientificpeer-review

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Andres B, Sanchis R, Poler R, Saari L. A proposal of standardised data model for cloud manufacturing collaborative networks. In IFIP Advances in Information and Communication Technology. Vol. 506. Springer. 2017. p. 77-85. (IFIP Advances in Information and Communication Technology, Vol. 506). https://doi.org/10.1007/978-3-319-65151-4_7