Purpose: 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). Design/methodology/approach: To achieve the goal were applied: analysis and synthesis of known scientific results on the topic of research, statistical analysis, mathematical modelling. Statistical data for determining the interval of control was recorded at regular intervals. Findings: A methodology has been developed for determining the interval of workplace environmental physical factors values control. It is based on the identification of patterns of change in the physical factors values. The algorithm of workplace environmental physical factors values control is proposed, which helps to identify cases when the actual values of the factors exceed the limit values. The practical application of theoretical propositions showed that the correlation coefficient between the factual sample and the sample formed using the determined control interval is within 0.74…0.88, which satisfies the condition R > 0.5 as intended. Research limitations/implications: The mechanism for workplace environmental physical factors values monitoring was further developed on the basis of forecasting changes in the physical factors values and determining the duration of the excess of the factors values over the limit. In this study on stationary and conditional stationary processes was the focus. Practical implications: The use of the algorithm that is based on the methodology for determining the interval of workplace environmental physical factors values control contributes to more effective monitoring of working safety. Originality/value: For the first time justified by the choice of the control interval of workplace environmental physical factors values with acceptable accuracy of the forecast that allow to quickly establish working conditions hazard class.

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.

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.

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.

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.