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1

Study of the harmful factors influence on the occupational risk level: the example of the Ukrainian mining industry

Kruzhilko O., Maystrenko V., Tkalych I., Polukarov Y., Kalinchyk V. P., Neklonskyi I., Ryzhchenko O.

Journal of Achievements in Materials and Manufacturing Engineering

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2022

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Vol. 110, nr 1

35--41

EN

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.

2

Mathematical modelling of professional risk at Ukrainian metallurgical industry enterprises

Kruzhilko O., Volodchenkova N., Maystrenko V., Bolibrukh B., Kalinchyk V. P., Zakora A., Feshchenko A., Yeremenko S.

Journal of Achievements in Materials and Manufacturing Engineering

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2021

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Vol. 108, nr 1

35--41

EN

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.

3

Development of the effective information and analytical support of the OSH management system

Kruzhilko O., Maystrenko V., Kalinchyk V., Polukarov Y., Mitiuk L., Bilotserkivska N., Borysova L., Kachur T.

Journal of Achievements in Materials and Manufacturing Engineering

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2020

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Vol. 99, nr 2

72--84

EN

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.

4

Improvement of the approach to hazard identification and industrial risk management, taking into account the requirements of current legal and regulatory acts

Kruzhilko O., Maystrenko V., Polukarov O., Kalinchyk V. P., Shulha A., Vasyliev A., Kondratov D.

Archives of Materials Science and Engineering

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2020

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Vol. 105, nr 2

65--79

EN

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.

5

Control of the workplace environment by physical factors and SMART monitoring

Kruzhilko O., Polukarov O., Vambol S., Vambol V., Khan N. A., Maystrenko V., Kalinchyk V. P., Khan A. H.

Archives of Materials Science and Engineering

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2020

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Vol. 103, nr 1

18--29

EN

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.

6

Management decision-making algorithm development for planning activities that reduce the production risk level

Kruzhilko O., Maystrenko V.

Journal of Achievements in Materials and Manufacturing Engineering

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2019

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Vol. 93, nr 1-2

41--49

EN

Purpose: Algorithm development for a measures phased expert assessment to reduce production risk at an industrial enterprise to adapt the expert method to the conditions for specific problem solving. Design/methodology/approach: To develop an algorithm for making management decisions, a step-by-step solution process was used. If the problem is solved under conditions of complete or partial uncertainty, an expert method of estimation was applied. In the mathematical model of management decision-making used criterion approach. At the same time, the methods of Sevij, Wald, and Hurwitz are considered to determine the criterion for choosing management decisions. Findings: A phased expert assessment of measures that reduce production risk at an industrial enterprise with the introduction of weighting factors in specified criteria is proposed. The expediency of applying the method of expert assessments and the Hurwitz criterion when planning measures to reduce industrial injuries is justified, since this approach links the preventive measures in the field of labour protection with the results of risk assessment and reduces subjectivity in making management decisions. Research limitations/implications: The proposed algorithm for expert assessment of measures to reduce production risk is universal for industrial enterprises. Practical implications: An algorithm has been developed to substantiate managerial decisions to reduce the production risks of the occurrence of traumatic events when planning preventive measures, which involves applying criteria for selecting measures based on the method of expert assessments and applying the Gurwitz criterion. Originality/value: Developed a consistent model of industrial risk management, which is based on a component method of assessing the risk of traumatic events and a mathematical model of management decisions. This model differs from the existing ones, taking into account all available risk-relevant information of the enterprise, stimulates preventive activity, and allows establishing the dependence of the level of industrial risk on the validity of measures on occupational safety and reducing the influence of the subjective component of expert judgments.

7

Modelling and forecasting the workplace environmental physical factors values

Kruzhilko O., Cherneha R., Maystrenko V., Polukarov O., Kalinchyk V.

Archives of Materials Science and Engineering

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2019

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Vol. 100, nr 1/2

21--33

EN

Purpose: To develop a mathematical model for predicting the workplace environmental physical factors values. Design/methodology/approach: Experimental measurements of the harmful and dangerous physical factors values of workplace environmental were carried out using special certified equipments. For each physical factor, 200 measurements were carried out. The workplace choice is justified by the employees’ survey and specialists’ expert evaluation results. Prediction methods that can be used to predict the workplace environmental physical factors values have been analyzed analytically. Working conditions assessment was carried out in accordance with the classification of working conditions for workplace harmfulness and danger, which function in Ukraine. Findings: For a preliminary assessment of the impact of environmental physical factors on workers, it is proposed to use the strict ranking method. It has been established that the proposed mathematical models for predicting the workplace environmental physical factors values (noise, dust, vibration, relative humidity) have an accuracy of more than 90% and can be used for planning measures to working conditions improve. Research limitations/implications: The results of a study of modelling and forecasting the workplace environmental physical factors values at the enterprise for the manufacture of glass and glass products at workplaces of transportation, preparation and mixing of materials are shown. Mathematical models for four physical factors are presented: noise, dustiness of air, vibration, relative humidity. Practical implications: Mathematical models make it possible to predict the environmental physical factors values (noise, vibration, dust, humidity) taking into account the specifics of the production process, assess the hazard class and harmfulness of working conditions at workplaces and justify the measures at labour protection. Originality/value: For the first time proposed by the mathematical models for predict the environmental physical factors values (noise, vibration, dust, humidity) taking into account the specifics of the production process.