Analysing printing press runnability by data mining

Markku Parola, Timo Kaljunen, Nikolai Beletsi, Juhani Paukku

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

    5 Citations (Scopus)

    Abstract

    Abstract: Demand for better productivity of printing presses is one of the key topics in the publication industry. For a papermaker, this means increased demands for improved runnability of paper. Lots of measuring data is used for controlling the press but unfortunately this data is not normally stored for later usage. Paper mills do a huge amount of on-line and off-line measurements, which are normally used internally. In this study, a large amount of diversified printing press and paper mill measurements were collected and a database was created. The aim was to clarify the reasons for runnability problems occurring in the pressroom. Over 2000 customer reels were measured at a newspaper press. The software package created for data mining is introduced. Results from a long-term study, and the causes for runnability problems in the printing press, are presented in this paper.
    Original languageEnglish
    Title of host publicationTAGA 2003 Proceedings
    PublisherTAGA
    Publication statusPublished - 2003
    MoE publication typeNot Eligible
    Event55th Annual Technology Conference of the Technical Association of the Graphic Arts, TAGA 2003 - Montreal, Canada
    Duration: 6 Apr 20039 Apr 2003

    Conference

    Conference55th Annual Technology Conference of the Technical Association of the Graphic Arts, TAGA 2003
    CountryCanada
    CityMontreal
    Period6/04/039/04/03

    Keywords

    • runnability
    • data mining
    • statistical
    • analysis
    • press
    • paper
    • register

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  • Cite this

    Parola, M., Kaljunen, T., Beletsi, N., & Paukku, J. (2003). Analysing printing press runnability by data mining. In TAGA 2003 Proceedings [30435] TAGA. http://virtual.vtt.fi/virtual/proj2/publications/taga2003-dm.pdf