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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    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.",
    keywords = "Data mining, Knowledge representation, Machine learning, Online monitoring, Quality prediction, Smart manufacturing",
    author = "Satu Tamminen and Henna Tiensuu and Eija Ferreira and Heli Helaakoski and Vesa Kyll{\"o}nen and Juha Jokisaari and Esa Puukko",
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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