Product quality output prediction based on a priori information
https://doi.org/10.51955/2312-1327_2024_2_27
Abstract
This work is a continuation of two stages of scientific research, where a universal algorithm for a system of applying statistical methods to manage non-conforming products has been developed and outlined.
The results obtained and their analysis made it possible to expand the range of studies and develop recommendations for improving the efficiency of the planning and forecasting of the technical and economic indicators of the enterprise, depending on a priori information on the influence of external and internal factors.
About the Authors
N. S. Khersonsky
SOYUZCERT LLC
Russian Federation
Russian Federation
Nikolai S. Khersonsky, candidate of technical sciences, General Director
7, building 30, Viktorenko St. Moscow, 125167
L. G. Bolshedvorskaya
Moscow State Technical University of Civil Aviation
Russian Federation
Russian Federation
Ludmila G. Bolshedvorskaya, Doctor of Technical Sciences Professor of the Department of BP&ZhD
20, Kronshtadtsky blvd Moscow, 125493
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Review
For citations:
Khersonsky N.S., Bolshedvorskaya L.G. Product quality output prediction based on a priori information. Crede Experto: transport, society, education, language. 2024;(2):27-35. (In Russ.) https://doi.org/10.51955/2312-1327_2024_2_27
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