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Comparative analysis of software for the study of statistical methods of control of product quality
- Authors: Kozhanov R.V.1, Kozhanova E.R.1, Sorokina L.A.2
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Affiliations:
- Yuri Gagarin State Technical University of Saratov
- JSC “Passenger Enterprise ‘Balakovo Nuclear Power Plant’ ”
- Issue: Vol 20, No 4 (2019)
- Pages: 293-301
- Section: Mechanical engineering and machine science
- URL: https://journals.rudn.ru/engineering-researches/article/view/23422
- DOI: https://doi.org/10.22363/2312-8143-2019-20-4-293-301
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Abstract
The article discusses the comparative analysis of software (MS Excel, Mathcad and Matlab) for the study of statistical methods of product quality control necessary for the training of future specialists in the field of product quality. The choice is determined by the presence of this software in the educational institution. Statistical methods of product quality control are mandatory elements of modern quality management systems implemented at Russian enterprises, the competitiveness of which largely depends on the ability of the company's personnel to apply these methods in practice at all stages of the product life cycle. The analysis of product quality begins with the construction of a histogram to identify avoidable and irremediable defects and compare it with the normal distribution curve. The process of forming the shape of the normal distribution curve can be traced in the construction of control maps based on a scatter plot of the sample. The next step is the construction of dot diagrams, on the basis of which control maps are built (in our case - the control map of Shewhart). The final step in training is the construction of Pareto diagrams to identify the causes of defects with ABC analysis. The authors conducted a comparative analysis of software products MS Excel, Mathcad and Matlab for the implementation of basic statistical methods of product quality control. For training it is proposed to choose MS Excel because of the availability of the Data Analysis package, free analogues that are widely used in enterprises, the ability to store the original data and use them in other programs (data import).
About the authors
Roman V. Kozhanov
Yuri Gagarin State Technical University of Saratov
Author for correspondence.
Email: ljubimzh@yandex.ru
master student in Computer Science and Computer Engineering of Institute of Electronic Engineering and Mechanical Engineering of SSTU
77 Polytechnicheskaya St., Saratov, 410054, Russian FederationEvgeniya R. Kozhanova
Yuri Gagarin State Technical University of Saratov
Email: ljubimzh@yandex.ru
Assistant Professor of the Electronic Devices and Systems Engineering of Institute of Electrical and Mechanical Engineering of SSTU, Candidate of Technical Sciences
77 Polytechnicheskaya St., Saratov, 410054, Russian FederationLyubov A. Sorokina
JSC “Passenger Enterprise ‘Balakovo Nuclear Power Plant’ ”
Email: ljubimzh@yandex.ru
Economist of JSC “Passenger Enterprise ‘Balakovo Nuclear Power Plant’ ”, Candidate of Technical Sciences
Balakovo-26, 413866, Saratov region, Russian FederationReferences
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