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Wyświetlanie 1-2 z 2
Tytuł:
Mathematical modelling of professional risk at Ukrainian metallurgical industry enterprises
Autorzy:
Kruzhilko, O.
Volodchenkova, N.
Maystrenko, V.
Bolibrukh, B.
Kalinchyk, V. P.
Zakora, A.
Feshchenko, A.
Yeremenko, S.
Powiązania:
https://bibliotekanauki.pl/articles/2055741.pdf
Data publikacji:
2021
Wydawca:
Stowarzyszenie Komputerowej Nauki o Materiałach i Inżynierii Powierzchni w Gliwicach
Tematy:
industrial risk
preventive measures
protective measures
planning
mathematical modelling
ryzyko przemysłowe
działania prewencyjne
środki ochronne
planowanie
modelowanie matematyczne
Opis:
Purpose: 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. Design/methodology/approach: For the study, statistical data were used that obtained from enterprises of the metallurgical industry of Ukraine. Research methods: analysis and generalization of known scientific results, methods of statistical analysis, mathematical modelling, expert assessments and decision theory. Findings: The results of experimental studies have confirmed the possibility of an objective assessment of various options for the OSH management strategy, which allows justifying the allocation of funds for OSH in the required amounts. It is shown that professional risk management strategies are characterized by different efficiency in the use of available financial resources, and the most effective strategy is one that allows you to minimize the level of risk (in comparison with other strategies) with the same amount of funding. Research limitations/implications: The study focuses on enterprises of the metallurgical industry in Ukraine. Practical implications: The application of the developed mathematical models demonstrates the effectiveness of financing certain preventive and protective measures, and stimulates the head to ensure industrial safety. Originality/value: The developed mathematical models allow justifying the allocation of funds for OSH in the required amounts.
Źródło:
Journal of Achievements in Materials and Manufacturing Engineering; 2021, 108, 1; 35--41
1734-8412
Pojawia się w:
Journal of Achievements in Materials and Manufacturing Engineering
Dostawca treści:
Biblioteka Nauki
Artykuł
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
    Wyświetlanie 1-2 z 2

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