Перегляд за Автор "Kalinchyk, V. P."

Зараз показуємо 1 - 7 з 7

Control of the workplace environment by physical factors and smart monitoring
(Association for Computational Materials Science and Surface Engineering, 2020) Kruzhilko, O. Ye.; Polukarov, O. I.; Vambol, S.; Vambol, V.; Khan, N. A.; Maystrenko, V.  V.; Kalinchyk, V. P.; Khan, A. H.; Кружилко, О. Є.; Майстренко, В. В.
To develop and implementation in practice an algorithm for smart monitoring of workplace environmental physical factors for occupational health and safety (OSH) management.
Development of the effective information and analytical support of the OSH management system
(Association for Computational Materials Science and Surface Engineering, 2020) Kruzhilko, O. Ye.; Maystrenko, V.  V.; Kalinchyk, V. P.; Polukarov, Yu. O.; Mitiuk, L.; Bilotserkivska, N.; Borysova, L.; Kachur, T.; Кружилко, О. Є.; Майстренко, В. В.
Studying urgent problems in the OSH management field in the in European countries to create effective information and analytical support for the OSH management system.
Improvement of the approach to hazard identification and industrial risk management, taking into account the requirements of current legal and regulatory acts
(Association for Computational Materials Science and Surface Engineering, 2020) Kruzhilko, O. Ye.; Maystrenko, V.  V.; Polukarov, O. I.; Kalinchyk, V. P.; Shulha, A.; Vasyliev, A.; Kondratov, D.; Кружилко, О. Є.; Майстренко, В. В.
Improving the systematic approach to planning and rationalizing labour protection measures at oil and gas enterprises, based on the results of hazard identification and industrial risk assessment. At the same time, the main task of the risk management process is to ensure the rights of employees guaranteed by the current legislation, namely, to create proper, safe and healthy working conditions.
Improvement of the workplace environmental physical factors values monitoring by determining the optimal interval for their control
(Association for Computational Materials Science and Surface Engineering, 2019) Kruzhilko, O. Ye.; Polukarov, O. I.; Kalinchyk, V. P.; Tkalych, I. M.; Кружилко, О. Є.; Ткалич, І. М.
Determination of such an interval of workplace environmental physical factors control, which would ensure high monitoring reliability and the minimum data collection and processing duration (or cost).
Mathematical modelling of professional risk at Ukrainian metallurgical industry enterprises
(Association for Computational Materials Science and Surface Engineering, 2021) Kruzhilko, O. Ye.; Volodchenkova, N. V.; Maystrenko, V.  V. ; Bolibrukh, B.; Kalinchyk, V. P.; Zakora, A.; Feshchenko, A.; Yermakova, S. O.; Володченкова, Н. В.; Кружилко, О. Є.; Майстренко, В. В.
To develop a more advanced methodology, the application of which will provide an informational and computational and analytical basis for planning and implementing effective preventive measures aimed at minimizing occupational risks with limited resources, as well as in the absence of organizational and technical capabilities to create absolutely safe working conditions.
Modelling and forecasting the workplace environmental physical factors values
(Association for Computational Materials Science and Surface Engineering, 2019) Kruzhilko, O. Ye.; Cherneha, R.; Maystrenko, V.  V.; Polukarov, O. I.; Kalinchyk, V. P.; Кружилко, О. Є.; Майстренко, В. В.
To develop a mathematical model for predicting the workplace environmental physical factors values.
Study of the harmful factors influence on the occupational risk level: The example of the Ukrainian mining industry
(Association for Computational Materials Science and Surface Engineering, 2022) Kruzhilko, O. Ye.; Maystrenko, V.  V.; Tkalych, I. M.; Polukarov, Yu. O.; Kalinchyk, V. P.; Neklonskyi, I.; Ryzhchenko, O.; Кружилко, О. Є.; Майстренко, В. В.; Ткалич, І. М.
The choice of preventive measures and labour protection equipment should be justified taking into account the occupational risk. For objective reasons, existing approaches do not provide an opportunity to justify the choice of the necessary measures, which best reduce the occupational risk level. Consequently, an effective methodological approach to justify preventive measures is required, since the level of risk in mining enterprises is still high, especially in developing countries and countries with weak economies. The current research is devoted to solving this urgent scientific problem.