Pregled bibliografske jedinice broj: 1265235
Prognostication of production processes based on polynomial regression analysis
Prognostication of production processes based on polynomial regression analysis // Computer-integrated technologies: education, science, production, 2023 (2023), 50; 27-35 doi:10.36910/6775-2524-0560-2023-50-04 (međunarodna recenzija, članak, znanstveni)
CROSBI ID: 1265235 Za ispravke kontaktirajte CROSBI podršku putem web obrasca
Naslov
Prognostication of production processes based on polynomial regression analysis
Autori
Shvachych, G. G. ; Mamuzić, Ilija ; Moroz, B. I. ; Aleksiev, O. M. ; Khar, A. T. ; Myronenko, M. A.
Izvornik
Computer-integrated technologies: education, science, production (2524-0552) 2023
(2023), 50;
27-35
Vrsta, podvrsta i kategorija rada
Radovi u časopisima, članak, znanstveni
Ključne riječi
mathematical modeling ; prognosis ; pipe production ; regression analysis ; model adequacy ; information technology
Sažetak
In the article, on the basis of polynomial regression analysis, adequate mathematical models of pipe production at the main enterprises of the mining and metallurgical complex of Ukraine are constructed. This made it possible to forecast the develpment of the relevant production chains. At the same time, the processing of experimental data was carrried out by modern means of information technology. To build mathematical models, a hypothesis was put forward about the polynomial dependense of the experimental data.
Izvorni jezik
Rus
Znanstvena područja
Metalurgija
