10–14 Sept 2023
Europe/Madrid timezone

Session

CONTRIBUTED Six Sigma

12 Sept 2023, 08:30
Auditorium

Auditorium

Conveners

CONTRIBUTED Six Sigma

  • Sven Knoth (Helmut Schmidt University Hamburg, Germany)

Presentation materials

There are no materials yet.

  1. Dr Daniel Palací-López (IFF Benicarlo, Benicarlo, Spain)
    12/09/2023, 08:30
    Six Sigma

    The large volume of complex data being continuously generated in Industry 4.0 environments, usually coupled with significant restrictions on experimentation in production, tends to hamper the application of the classical Six Sigma methodology for continuous improvement, for which most statistical tools are based in least squares techniques. Multivariate Six Sigma [1], on the other hand,...

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  2. Lourdes Pozueta (AVANCEX +I, S.L.)
    12/09/2023, 08:50
    Six Sigma

    Traditional Six Sigma statistical toolkit, mainly composed of classical statistical techniques (e.g., scatter plots, correlation coefficients, hypothesis testing, and linear regression models from experimental designs), is seriously handicapped for problem solving in the Industry 4.0 era. The incorporation of latent variables-based multivariate statistical techniques such as Principal...

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  3. Prof. José Manuel Prats-Montalbán (Universtitat Politècnica de València)
    12/09/2023, 09:10
    Six Sigma

    In this talk we introduced a multivariate image analysis (MIA)-based quality monitoring system for the detection of batches of a vegetable fresh product (Iceberg type lettuce) that do not meet the established quality requirements. This tool was developed in the Control stage of the DMAIC cycle of a Six Sigma Multivariate project undertaken in a company of the agri-food sector.

    An...

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