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

• Autorzy: Pietraszek Jacek , Radek Norbert , Goroshko Andrii V.

Identyfikatory

DOI

10.30657/pea.2020.26.33

• Języki publikacji: EN

Abstrakty

EN

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.

Słowa kluczowe

EN

DoE; Industry 4.0; data-driven approaches; uncertainty

PL

DoE; przemysł 4.0; niepewność

• Wydawca: Oficyna Wydawnicza Stowarzyszenia Menedżerów Jakości i Produkcji
• Czasopismo: Production Engineering Archives
• Rocznik: 2020
• Tom: Vol. 26, Iss. 4
• Strony: 190--194
• Opis fizyczny: Bibliogr. 44 poz., rys.

Twórcy

autor

Pietraszek Jacek

• Cracow University of Technology, 31-864 Kraków, Al. Jana Pawła II 37, Poland

autor

Radek Norbert

• Kielce University of Technology, 25-314 Kielce, Al. Tysiąclecia Państwa Polskiego 7, Poland

autor

Goroshko Andrii V.

• Khmelnytsky National University, 29000 Khmelnytskyi, Instytutska Str. 11, Ukraine

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Uwagi

Opracowanie rekordu ze środków MNiSW, umowa Nr 461252 w ramach programu "Społeczna odpowiedzialność nauki" - moduł: Popularyzacja nauki i promocja sportu (2021).