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Visual analysis of blow molding machine multivariate time series data
TU Wien, AUT.
Linnéuniversitetet.
Linnéuniversitetet.ORCID iD: 0000-0001-6745-4398
2022 (English)In: Journal of Visualization, Vol. 25, no 6, p. 1329-1342Article in journal (Refereed) Published
Abstract [en]

The recent development in the data analytics field provides a boost in production for modern industries. Small-sized factories intend to take full advantage of the data collected by sensors used in their machinery. The ultimate goal is to minimize cost and maximize quality, resulting in an increase in profit. In collaboration with domain experts, we implemented a data visualization tool to enable decision-makers in a plastic factory to improve their production process. The tool is an interactive dashboard with multiple coordinated views supporting the exploration from both local and global perspectives. In summary, we investigate three different aspects: methods for preprocessing multivariate time series data, clustering approaches for the already refined data, and visualization techniques that aid domain experts in gaining insights into the different stages of the production process. Here we present our ongoing results grounded in a human-centered development process. We adopt a formative evaluation approach to continuously upgrade our dashboard design that eventually meets partners’ requirements and follows the best practices within the field. We also conducted a case study with a domain expert to validate the potential application of the tool in the real-life context. Finally, we assessed the usability and usefulness of the tool with a two-layer summative evaluation that showed encouraging results.

Place, publisher, year, edition, pages
Springer Science+Business Media B.V., 2022. Vol. 25, no 6, p. 1329-1342
Keywords [en]
Time series data, Unsupervised machine learning, Visualization
National Category
Computer and Information Sciences
Identifiers
URN: urn:nbn:se:bth-23919DOI: 10.1007/s12650-022-00857-4OAI: oai:DiVA.org:bth-23919DiVA, id: diva2:1710725
Available from: 2022-11-14 Created: 2022-11-14 Last updated: 2022-11-14Bibliographically approved

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Jusufi, Ilir

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CiteExportLink to record
Permanent link

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Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf