- Tytuł:
- Challenges for the DOE methodology related to the introduction of Industry 4.0
- Autorzy:
-
Pietraszek, Jacek
Radek, Norbert
Goroshko, Andrii V. - Powiązania:
- https://bibliotekanauki.pl/articles/1839493.pdf
- Data publikacji:
- 2020
- Wydawca:
- Stowarzyszenie Menedżerów Jakości i Produkcji
- Tematy:
-
DOE
industry 4.0
data-driven approaches
uncertainty
przemysł 4.0
niepewność - Opis:
- 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.
- Źródło:
-
Production Engineering Archives; 2020, 26, 4; 190-194
2353-5156
2353-7779 - Pojawia się w:
- Production Engineering Archives
- Dostawca treści:
- Biblioteka Nauki
Artykuł