Open AccessComparative analysis of software for the study of statistical methods of control of product quality
Author(s) -
Роман Вячеславович Кожанов,
Кожанов Роман Вячеславович,
Е. Р. Кожанова,
Кожанова Евгения Романовна,
Lyubov A. Sorokina,
Сорокина Любовь Александровна
Publication year - 2019
Publication title -
vestnik rossijskogo universiteta družby narodov. seriâ inženernye issledovaniâ
Language(s) - English
Resource type - Journals
eISSN - 2312-8151
pISSN - 2312-8143
DOI - 10.22363/2312-8143-2019-20-4-293-301
Subject(s) - software , quality (philosophy) , pareto chart , product (mathematics) , computer science , control chart , matlab , scatter plot , statistical process control , control (management) , plot (graphics) , industrial engineering , data mining , process (computing) , pareto principle , engineering , statistics , operations management , artificial intelligence , machine learning , mathematics , philosophy , geometry , epistemology , programming language , operating system
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).