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Wyszukujesz frazę "Polukarov, O." wg kryterium: Autor


Wyświetlanie 1-3 z 3
Tytuł:
Improvement of the approach to hazard identification and industrial risk management, taking into account the requirements of current legal and regulatory acts
Autorzy:
Kruzhilko, O.
Maystrenko, V.
Polukarov, O.
Kalinchyk, V. P.
Shulha, A.
Vasyliev, A.
Kondratov, D.
Powiązania:
https://bibliotekanauki.pl/articles/1818492.pdf
Data publikacji:
2020
Wydawca:
Stowarzyszenie Komputerowej Nauki o Materiałach i Inżynierii Powierzchni w Gliwicach
Tematy:
labour protection
industrial risk
hazard identification
oil and gas industry
mathematical modeling
ochrona pracy
ryzyko przemysłowe
identyfikacja zagrożenia
przemysł naftowo-gazowy
modelowanie matematyczne
Opis:
Purpose: 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. Design/methodology/approach: A comparative legal method for identifying the features of European and Ukrainian legislation in the occupational safety and health field; a structural-logical method for determining the main directions for the further development of the occupational safety and health management system at enterprises; analysis and generalization of well-known scientific results on the research topic; statistical analysis to identify the relationship between the industrial risk' level and various factors that may affect its value; applied systems analysis and mathematical modelling method for new methodological approaches' development to assessing of hazards' likelihood and their consequences' severity were used. The basis for improving the systematic approach to planning and rationalizing labour protection measures is based on the standard IEC 61882:2001. The statistics are taken from the "Messages" information system, which operates in the State Service of Ukraine on Labour and is designed to collect and process data on occupational injuries Findings: An analysis of the current legislative and regulatory acts showed promising directions for their improvement. A mathematical model for scoring industrial risk is proposed, which takes into account the relationship between industrial risk and preventive measures and the time of their implementation. The calculation system developed on the basis of the proposed model provided a reduction in the time for processing data and calculating the values of industrial risks by 20...25%. Research limitations/implications: Statistical data on industrial injuries at enterprises of the oil and gas industry of Ukraine for 2018-2019 were used. Practical implications: Implementation of the proposed systematic approach to the organization of occupational safety and health management at enterprises has shown its simplicity and effectiveness, which can induce employers to finance reasonable and timely preventive measures. Originality/value: The method has been improved by decreasing the discreteness step in the assessment of industrial risk components, which has increased its accuracy; by developing a mathematical model for calculating the probability of a hazard, taking into account the frequency with which workers are exposed to danger, which eliminates the need to involve experts for an expert assessment at this stage.
Źródło:
Archives of Materials Science and Engineering; 2020, 105, 2; 65--79
1897-2764
Pojawia się w:
Archives of Materials Science and Engineering
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Control of the workplace environment by physical factors and SMART monitoring
Autorzy:
Kruzhilko, O.
Polukarov, O.
Vambol, S.
Vambol, V.
Khan, N. A.
Maystrenko, V.
Kalinchyk, V. P.
Khan, A. H.
Powiązania:
https://bibliotekanauki.pl/articles/1818508.pdf
Data publikacji:
2020
Wydawca:
Stowarzyszenie Komputerowej Nauki o Materiałach i Inżynierii Powierzchni w Gliwicach
Tematy:
environmental physical factors
occupational health
monitoring
occupational health and safety management system
decision-making algorithm
środowiskowe czynniki fizyczne
zdrowie zawodowe
monitorowanie
system zarządzania bezpieczeństwem i higieną pracy
algorytm decyzyjny
Opis:
Purpose: To develop and implementation in practice an algorithm for smart monitoring of workplace environmental physical factors for occupational health and safety (OSH) management. Design/methodology/approach: A brief conceptual analysis of existing approaches to workplace environmental physical factors monitoring was conducted and reasonably suggest a decision-making algorithm to reduce the negative impact of this factors as an element of the OSH management system. Findings: An algorithm has been developed that provides continual improvement of the OSH management system to improve overall labour productivity and which has 3 key positive features: (1) improved data collection, (2) improved data transfer and (3) operational determination of the working conditions class. Research limitations/implications: The implementation of the proposed algorithm for substantiating managerial decisions to reduce the negative impact of workplace physical factors is shown by the example of four workplace environmental physical factors in the products manufacture from glass. Practical implications: If management decisions on the implementation of protective measures are taken in accordance with the proposed monitoring algorithm, these decisions will be timely and justified. This makes it possible to reduce the time of the dangerous effects of physical factors on the health of workers and reduce the level of these factors to improve working conditions. That is, an algorithm is proposed that provides continuous improvement of the OSH management system to increase overall labour productivity. Originality/value: Current monitoring of workplace environmental physical factors values are carried out in accordance with the justified monitoring intervals for each factor that provides the necessary and sufficient amount of data and eliminates the transfer of useless data.
Źródło:
Archives of Materials Science and Engineering; 2020, 103, 1; 18--29
1897-2764
Pojawia się w:
Archives of Materials Science and Engineering
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Study of the harmful factors influence on the occupational risk level: the example of the Ukrainian mining industry
Autorzy:
Kruzhilko, O.
Maystrenko, V.
Tkalych, I.
Polukarov, Y.
Kalinchyk, V. P.
Neklonskyi, I.
Ryzhchenko, O.
Powiązania:
https://bibliotekanauki.pl/articles/2055751.pdf
Data publikacji:
2022
Wydawca:
Stowarzyszenie Komputerowej Nauki o Materiałach i Inżynierii Powierzchni w Gliwicach
Tematy:
mining industry
occupational risk
statistical data
harmful factors
dust
przemysł górniczy
ryzyko zawodowe
dane statystyczne
czynniki szkodliwe
zapylenie
Opis:
Purpose: 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. Design/methodology/approach: Construction of mathematical models based on accumulated statistical data on the values of production factors using polynomial regression, which is justified by the simplicity of computational algorithms and the clarity of the results obtained. Findings: On the example of the Ukrainian mining industry, it was found that to reduce occupational risk; the most effective is to change the operating mode of the equipment and rational planning of working hours, but not measures to reduce the dust concentration. Research limitations/implications: The study is focused on the mining industry; a methodological approach and a mathematical model are proposed for specific working conditions at Ukrainian mining industry. Practical implications: The proposed approach makes it possible, based on statistical data, to quickly and reliably select the most effective measures to reduce the industrial risk level. Originality/value: A feature of the proposed approach to reducing industrial risk is a comprehensive accounting of data on factors affecting occupational risk, the construction of mathematical models and the use of modelling results when planning measures to improve working conditions.
Źródło:
Journal of Achievements in Materials and Manufacturing Engineering; 2022, 110, 1; 35--41
1734-8412
Pojawia się w:
Journal of Achievements in Materials and Manufacturing Engineering
Dostawca treści:
Biblioteka Nauki
Artykuł
    Wyświetlanie 1-3 z 3

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