Russian Federation
Russian Federation
The object of the research is the development of scientific and methodological foundations, recommendations and documents on the integration of quality management methods and digital technologies for the most productive symbiosis of digital technologies and QMS in the field of neural networks and blockchain elements used in a mechanical engineering enterprise, using the example of the Caterpillar Tosno plant, for quality control products. The paper describes the equipment of the enterprise, the state of quality control and quality management systems at the moment, as well as the planned introduction of quality control elements at the enterprise using modern technologies, such as neural networks and blockchain elements.
quality management; quality control; neural networks; digital technology
1. Salimova T.A., Vatolkina N.Sh. Menedzhment kachestva v usloviyah perehoda k industrii 4.0 // Standarty i kachestvo. - 2018. - № 6. - S. 58-62.
2. Salimova T.A., Vatolkina N.Sh., V.I. Makolov. Vektory razvitiya SMK pri perehode k industrii 4.0// Standarty i kachestvo. - 2018. - № 8. - S. 44-48.
3. Levchenko E.V. Vliyanie cifrovizacii na razvitie sistemy menedzhmenta kachestva // Vestnik Saratovskogo gosudarstvennogo social'no -ekonomicheskogo universiteta. 2018. №4 (73).
4. Hatidzhe Kamgoz Akdag. Total'noe upravlenie kachestvom posredstvom obnaruzheniya defektov v proizvodstvennyh processah s ispol'zovaniem algoritmov mashinnogo obucheniya // Materialy Mezhdunarodnogo simpoziuma po proizvodstvennym issledovaniyam 2019 g. (str. 508-516). 2020
5. Dzhordzh Kovach, Nafisa Islamovna Yusupova. Modeli i metody upravleniya kachestvom na osnove prilozheniy iskusstvennogo intellekta. // Vengerskaya akademiya nauk. Acta Polytechnica Hungarica 13(3):45-60. 2021
6. Sayrus Hoseyni, M.Affan Badar, Kristofer Kluze. Obzor metodov mashinnogo obucheniya, primenimyh k voprosam kachestva // Issledovanie Universiteta shtata Indiana. 2021