From measurements to knowledge: Online quality monitoring and smart manufacturing

Satu Tamminen, Henna Tiensuu, Eija Ferreira, Heli Helaakoski, Vesa Kyllönen, Juha Jokisaari, Esa Puukko

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

Abstract

The purpose of this study was to develop an innovative supervisor system to assist the operators in an industrial manufacturing process to help discover new alternative solutions for improving both the products and the manufacturing process. This paper presents a solution for integrating different types of statistical modelling methods for a usable industrial application in quality monitoring. The two case studies demonstrating the usability of the tool were selected from a steel industry with different needs for knowledge presentation. The usability of the quality monitoring tool was tested in both case studies, both offline and online.

Original languageEnglish
Title of host publicationAdvances in Data Mining. Applications and Theoretical Aspects
Subtitle of host publication18th Industrial Conference, ICDM 2018, Proceedings
PublisherSpringer
Pages17-28
Number of pages12
ISBN (Electronic)978-3-319-95786-9
ISBN (Print)978-3-319-95785-2
DOIs
Publication statusPublished - 1 Jan 2018
MoE publication typeNot Eligible
Event18th Industrial Conference on Data Mining, ICDM 2018 - New York, United States
Duration: 11 Jul 201812 Jul 2018

Publication series

SeriesLecture Notes in Computer Science
Volume10933 LNAI
ISSN0302-9743

Conference

Conference18th Industrial Conference on Data Mining, ICDM 2018
CountryUnited States
CityNew York
Period11/07/1812/07/18

Fingerprint

Usability
Manufacturing
Monitoring
Iron and steel industry
Statistical Modeling
Supervisory personnel
Industrial Application
Modeling Method
Statistical method
Industrial applications
Steel
Industry
Alternatives
Operator
Knowledge
Presentation

Keywords

  • Data mining
  • Knowledge representation
  • Machine learning
  • Online monitoring
  • Quality prediction
  • Smart manufacturing

Cite this

Tamminen, S., Tiensuu, H., Ferreira, E., Helaakoski, H., Kyllönen, V., Jokisaari, J., & Puukko, E. (2018). From measurements to knowledge: Online quality monitoring and smart manufacturing. In Advances in Data Mining. Applications and Theoretical Aspects: 18th Industrial Conference, ICDM 2018, Proceedings (pp. 17-28). Springer. Lecture Notes in Computer Science, Vol.. 10933 LNAI https://doi.org/10.1007/978-3-319-95786-9_2
Tamminen, Satu ; Tiensuu, Henna ; Ferreira, Eija ; Helaakoski, Heli ; Kyllönen, Vesa ; Jokisaari, Juha ; Puukko, Esa. / From measurements to knowledge : Online quality monitoring and smart manufacturing. Advances in Data Mining. Applications and Theoretical Aspects: 18th Industrial Conference, ICDM 2018, Proceedings. Springer, 2018. pp. 17-28 (Lecture Notes in Computer Science, Vol. 10933 LNAI).
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Tamminen, S, Tiensuu, H, Ferreira, E, Helaakoski, H, Kyllönen, V, Jokisaari, J & Puukko, E 2018, From measurements to knowledge: Online quality monitoring and smart manufacturing. in Advances in Data Mining. Applications and Theoretical Aspects: 18th Industrial Conference, ICDM 2018, Proceedings. Springer, Lecture Notes in Computer Science, vol. 10933 LNAI, pp. 17-28, 18th Industrial Conference on Data Mining, ICDM 2018, New York, United States, 11/07/18. https://doi.org/10.1007/978-3-319-95786-9_2

From measurements to knowledge : Online quality monitoring and smart manufacturing. / Tamminen, Satu; Tiensuu, Henna; Ferreira, Eija; Helaakoski, Heli; Kyllönen, Vesa; Jokisaari, Juha; Puukko, Esa.

Advances in Data Mining. Applications and Theoretical Aspects: 18th Industrial Conference, ICDM 2018, Proceedings. Springer, 2018. p. 17-28 (Lecture Notes in Computer Science, Vol. 10933 LNAI).

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

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Tamminen S, Tiensuu H, Ferreira E, Helaakoski H, Kyllönen V, Jokisaari J et al. From measurements to knowledge: Online quality monitoring and smart manufacturing. In Advances in Data Mining. Applications and Theoretical Aspects: 18th Industrial Conference, ICDM 2018, Proceedings. Springer. 2018. p. 17-28. (Lecture Notes in Computer Science, Vol. 10933 LNAI). https://doi.org/10.1007/978-3-319-95786-9_2