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Wyświetlanie 1-2 z 2
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
Tytuł:
Development of the effective information and analytical support of the OSH management system
Autorzy:
Kruzhilko, O.
Maystrenko, V.
Kalinchyk, V.
Polukarov, Y.
Mitiuk, L.
Bilotserkivska, N.
Borysova, L.
Kachur, T.
Powiązania:
https://bibliotekanauki.pl/articles/368494.pdf
Data publikacji:
2020
Wydawca:
Stowarzyszenie Komputerowej Nauki o Materiałach i Inżynierii Powierzchni w Gliwicach
Tematy:
occupational safety and health
undeclared work
control
information support
analytical support
bezpieczeństwo i higiena pracy
praca nierejestrowana
kontrola
wsparcie informacyjne
Opis:
Purpose: 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. Design/methodology/approach: An analytical review of open sources, a comparative analysis of the legislative framework of different countries and logical conclusions based on existing opportunities at the current stage of development of the country were used to study current problems in the field of labour protection management and find ways to create effective information and analytical support. Improved IS "Vizit" was tested for 2018-2019: to identify undeclared labour, the dynamics of various types of labour violations has been studied; to predict the load of inspectors, the quarterly dynamics of inspection actions was studied; the accumulated statistics were processed using multiple regressions; for 22 enterprises, employees of all levels were remotely trained in labour protection issues. Findings: Information and analytical support for the OSH management system has been developed. On the basis of indirect signs it allows to identify undeclared work cases, to predict the labour inspectors’ inspection activities by quarters, to provide effective distance learning of enterprise employees and labour inspectors. The distance learning system for labour protection was tested at 22 enterprises: the head of the enterprise, the heads of departments and employees of the enterprise passed the training. Since 2018 (start to use of this information and analytical support), the dynamics of inspection actions and various types of labour violations have been monitored. Research limitations/implications: Information and analytical support was tested on the example of Ukrainian labour legislation. However, it can be adapted to the legislation of another country. Practical implications: The proposed information and analytical support using indirect evidences provides an opportunity to identify undeclared work and that significantly reduces the inspection visits number in order to monitor and detect violations of the law; makes it possible to predict the inspection activities and the workload of labour inspectors; contributes to the organizations managers and employees’ effective training, and the inspectors training remotely (and therefore is less costly). Originality/value: A non-standard approach to the identification of undeclared work on indirect grounds using information and analytical support for the OSH management system is proposed.
Źródło:
Journal of Achievements in Materials and Manufacturing Engineering; 2020, 99, 2; 72-84
1734-8412
Pojawia się w:
Journal of Achievements in Materials and Manufacturing Engineering
Dostawca treści:
Biblioteka Nauki
Artykuł
    Wyświetlanie 1-2 z 2

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