4 Citations (Scopus)

Abstract

In the last decades, several research initiatives suggested new solutions regarding the interoperability and interconnectivity among heterogeneous production components and all the actors that somehow interact within the shop-floor. However, most of the proposed data representations are focused on the description of the production capabilities. In this paper, it is proposed a common data model focused not only in the production capabilities of the different components as well as the description of all the events, variables and resources that could indicate quality issues. Hence, the proposed data model describes all the information required by the GO0DMAN solution to reduce as much as possible, the defects, the respective causes and the strategies to avoid the propagation along the line. In order to increase the adoption of the proposed data model, it was developed using AutomationML. The proposed data model was designed and tested within the scope of the Horizon 2020 GO0DMAN project.

Original languageEnglish
Title of host publicationProceedings - IEEE 16th International Conference on Industrial Informatics, INDIN 2018
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages815-821
Number of pages7
ISBN (Electronic)978-153864829-2
DOIs
Publication statusPublished - 24 Sep 2018
Event16th IEEE International Conference on Industrial Informatics, INDIN 2018 - Porto, Portugal
Duration: 18 Jul 201820 Jul 2018

Conference

Conference16th IEEE International Conference on Industrial Informatics, INDIN 2018
CountryPortugal
CityPorto
Period18/07/1820/07/18

Keywords

  • Cyber-physical system
  • Data model
  • Multistage
  • Quality control
  • Zero defect manufacturing

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