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ENBIS 2021 Spring Meeting

17–18 May 2021
Online
Europe/London timezone

ENBIS Permanent Office

Session

Industrial process innovation and monitoring via statistics

2.3.1
18 May 2021, 13:00
Online

Online

Conveners

Industrial process innovation and monitoring via statistics

  • Diego Zappa (Università Cattolica del Sacro Cuore - Milan)

Presentation materials

There are no materials yet.

  1. 61. Experimental designs and Kriging modelling: the use of strong orthogonal arrays
    Nedka Dechkova Nikiforova (Department of Statistics Computer Science Applications "G. Parenti", University of Florence)
    18/05/2021, 13:00
    Data Science in Process Industries

    Nowadays, physical experimentation for some complex engineering and technological processes appears too costly or, in certain circumstances, impossible to be performed. In those cases, computer experiments are conducted in which a computer code is run to depict the physical system under study. Specific surrogate models are used for the analysis of computer experiments functioning as...

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  2. 68. Statistical learning methods for Predictive Maintenance in plasma etching processes
    Diego Zappa (Università Cattolica del Sacro Cuore - Milan)
    18/05/2021, 13:20
    Data Science in Process Industries

    This contribution is a joint work of academicians and a research group of a leading industry in semiconductor manufacturing. The problem under investigation refers to a predictive maintenance manufacturing system. Zonta et al. (2020) present a systematic literature review of initiatives of predictive maintenance in Industry 4.0. According to Mobley (2002) industrial and process plants...

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  3. 60. Non-parametric local capability indices for industrial planar artefacts
    Riccardo Borgoni (Università di Milano-Bicocca)
    18/05/2021, 13:40
    Data Science in Process Industries

    See the PDF abstract.

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