Product quality output prediction based on a priori information
DOI 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.
Keywords: a priori information, statistical methods, non-conforming products.
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