Interoperable decision support system based on multivariate time series for setup data processing and visualization

M. L. R. Varela, Gabriela Amaral, Sofia Pereira, Diogo Machado, António Falcão, Rita Ribeiro, Emanuel Sousa, Jorge Santos, Alfredo F. Pereira

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

Abstract

Nowadays, interoperable decision support systems play a crucial role to improve production activity control in industrial Companies, and enable them to face the growing exigencies imposed by the arising Industry 4.0 era. In this paper an interoperable decision support system based on multivariate time series for setup data processing and visualization is put forward. The proposed system is described, in the context of a general architecture presented, and its application through an illustrative example from a stamping factory is analysed. Through the case study it is possible to realize about the importance of the proposed system, and its suitability of application to other companies, for instance in other industrial sectors and manufacturing environments.

Original languageEnglish
Title of host publicationIntelligent Systems Design and Applications - 19th International Conference on Intelligent Systems Design and Applications, ISDA 2019
EditorsAjith Abraham, Patrick Siarry, Kun Ma, Arturas Kaklauskas
PublisherSpringer
Pages550-560
Number of pages11
ISBN (Print)9783030493417
DOIs
Publication statusPublished - 2021
Event19th International Conference on Intelligent Systems Design and Applications, ISDA 2019 - Auburn, United States
Duration: 3 Dec 20195 Dec 2019

Publication series

NameAdvances in Intelligent Systems and Computing
PublisherSpringer
Volume1181 AISC
ISSN (Print)2194-5357
ISSN (Electronic)2194-5365

Conference

Conference19th International Conference on Intelligent Systems Design and Applications, ISDA 2019
Country/TerritoryUnited States
CityAuburn
Period3/12/195/12/19

Keywords

  • Interoperable decision support system
  • Multivariate time series
  • Setup data processing
  • Visualization

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