E3S Web Conf.
Volume 217, 2020International Scientific and Practical Conference “Environmental Risks and Safety in Mechanical Engineering” (ERSME-2020)
|Number of page(s)||8|
|Section||Digital Technologies for Sustainability|
|Published online||14 December 2020|
Development of a software module for quality control and statistical data processing in production
Don State Technical University, 1, Gagarin Square, 344003, Rostov-on-Don, Russia
* Corresponding author: email@example.com
the article considers the algorithmic and mathematical justification for the development of a new software module for product quality control and statistical data processing at the Auditor enterprises. The software is designed for automated calculation of product quality control and evaluation indicators. The program has a wide range of functions for statistical data processing and product quality control tools at the enterprise. The functional characteristics of the software include: comparing risks for a given set of factors for two cases, building a histogram of the distribution of cases over a given numerical interval, comparing objects for a given set of values using a generalized estimate, calculating global priorities for a given set of factors for several cases, calculating the I-th predicted value for a linear regression model, calculating the i-th predicted value for an exponential regression model, calculating the i-th predicted value for a parabolic regression model, calculating the consistency of experts for a given set of factors, calculating the n+1 value of a time series, and evaluating the level of employee satisfaction.
© The Authors, published by EDP Sciences, 2020
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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