<abstract xmlns="http://www.w3.org/1999/xhtml"><p>The introduction of solutions conventionally called Industry 4.0 to the industry resulted in the need to make many changes in the traditional procedures of industrial data analysis based on the DOE (Design of Experiments) methodology. The increase in the number of controlled and observed factors considered, the intensity of the data stream and the size of the analyzed datasets revealed the shortcomings of the existing procedures. Modifying procedures by adapting Big Data solutions and data-driven methods is becoming an increasingly pressing need. The article presents the current methods of DOE, considers the existing problems caused by the introduction of mass automation and data integration under Industry 4.0, and indicates the most promising areas in which to look for possible problem solutions.</p></abstract>

The introduction of solutions conventionally called Industry 4.0 to the industry resulted in the need to make many changes in the traditional procedures of industrial data analysis based on the DOE (Design of Experiments) methodology. The increase in the number of controlled and observed factors considered, the intensity of the data stream and the size of the analyzed datasets revealed the shortcomings of the existing procedures. Modifying procedures by adapting Big Data solutions and data-driven methods is becoming an increasingly pressing need. The article presents the current methods of DOE, considers the existing problems caused by the introduction of mass automation and data integration under Industry 4.0, and indicates the most promising areas in which to look for possible problem solutions.

Challenges for the DOE methodology related to the introduction of Industry 4.0

Production Engineering Archives

This work is licensed under the Creative Commons Attribution-ShareAlike 4.0 International License.

{"article-title":"Challenges for the DOE methodology related to the introduction of Industry 4.0"}

The introduction of solutions conventionally called Industry 4.0 to the industry resulted in the need to make many changes in the traditional procedures of...

Challenges for the DOE methodology related to the introduction of Industry 4.0

Publié en ligne: 31 déc. 2020

Pages: 190 - 194

Reçu: 20 sept. 2020

Accepté: 25 oct. 2020

DOI: https://doi.org/10.30657/pea.2020.26.33

Mots clés
DOE, Industry 4.0, data-driven approach, uncertainty

© 2020 Jacek Pietraszek et al., published by Sciendo

This work is licensed under the Creative Commons Attribution-ShareAlike 4.0 International License.

Challenges for the DOE methodology related to the introduction of Industry 4.0

Publié en ligne: 31 déc. 2020

Pages: 190 - 194

Reçu: 20 sept. 2020

Accepté: 25 oct. 2020

DOI: https://doi.org/10.30657/pea.2020.26.33

Mots clésDOE, Industry 4.0, data-driven approach, uncertainty

© 2020 Jacek Pietraszek et al., published by Sciendo

This work is licensed under the Creative Commons Attribution-ShareAlike 4.0 International License.

Mots clés
DOE, Industry 4.0, data-driven approach, uncertainty