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N.N. Goglev,S.A. Migalin,E.V. Kasatkina
Pág. 111 - 119
The use of artificial intelligence technologies and big data analysis in risk management makes it possible to reduce the burden on experts and reduce the influence of the human factor in risk assessment. These technologies are well studied and actively u...
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Peter Grohmann and Michael S. J. Walter
Statistical tolerance analysis based on Monte Carlo simulation can be applied to obtain a cost-optimized tolerance specification that satisfies both the cost and quality requirements associated with manufacturing. However, this process requires time-cons...
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Olena Dmitrieva,Irina Khorenzhaja,Valerie Vasylenko,Stanislav Osypenko,Natalia Teliura,Olga Lomakina,Liudmyla Melnik,Irina Koldoba
Pág. 27 - 37
A methodological approach has been devised for determining the priority phytoremediation technology for the treatment of wastewater from settlements, based on the hierarchy analysis method (MAI). The proposed approach makes it possible to involve experts...
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Maryna Litvinova,Nataliia Andrieieva,Viktor Zavodyannyi,Sergii Loi,Olexandr Shtanko
Pág. 39 - 45
The use of modern applied computer programs expands the possibility of multicomponent statistical analysis in materials science. The procedure for applying the method of multiple correlation and regression analysis for the study and modeling of multifact...
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Sudjatmiko Sudjatmiko,Rudy Soenoko,Agus Suprapto,Moch Agus Choiron
Pág. 54 - 60
The research on the lathe process has described that the tool nose radius parameter is one of the factors that has an influence on surface roughness in the form of product quality. Chip slenderness ratio is an important parameter in the lathe process tha...
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