A METHODOLOGY FOR DETERMINING RISKS BASED ON THE ANALYSIS OF INJURIES TO EMPLOYEES OF INDUSTRIAL ENTERPRISES

Authors

  • I. Petrenko Kremenchuk Mykhailo Ostrohradskyi National University, M.S. Poliakov Institute of Geotechnical Mechanics of the National Academy of Sciences of Ukraine
  • O. Chencheva Kremenchuk Mykhailo Ostrohradskyi National University
  • S. Zozulia National Aviation University
  • V. Shevchenko M.S. Poliakov Institute of Geotechnical Mechanics of the National Academy of Sciences of Ukraine
  • S. Lohvinkov Simon Kuznets Kharkiv National University of Economics

DOI:

https://doi.org/10.33042/2522-1809-2024-1-182-215-222

Keywords:

injuries, risks, injury analysis, mining and processing plant, industry

Abstract

The article aims to analyse the causes of occupational injuries, identify risk factors for employees, and improve workplace safety and accident prevention standards. To achieve the stated aim, the authors applied a comprehensive approach, which included an in-depth study of recent injury trends, identification of the main causal factors, and a thorough examination of the risks affecting working conditions and leading to injuries. The research methodology included a variety of tools, such as a deep analysis of statistical data on injuries in the context of an industrial enterprise, a review of internal documentation, and an evaluation of risk factors. The study results provided a detailed picture of the changing trajectory of injuries among industrial workers, which is closely related to their length of service and experience at the enterprise. Based on this understanding, we derived a specific risk assessment formula that synthesised the relationship between injuries and length of service. In addition, a thorough analysis of the structure of injuries during different shifts revealed a pronounced tendency for accidents to occur in the evening and at night, partly due to the psychological and physiological stress experienced by employees during these periods and the impact of microclimatic working conditions. To enhance the effectiveness of the risk assessment methodology, we proposed to integrate a comfort factor coefficient that shows the microclimatic factors’ impact on occupational safety and injury rates. These efforts have resulted in an improved risk assessment formula that can provide a more accurate prognosis of injury incidents and help optimise occupational health and safety protocols for employees at industrial enterprises. In addition, using statistical data, the study determined the cause-effect relation between risks to industrial workers, shown through the visual representation of an Ishikawa diagram, thus providing a further perspective for risk assessment in the enterprise.

Author Biographies

I. Petrenko, Kremenchuk Mykhailo Ostrohradskyi National University, M.S. Poliakov Institute of Geotechnical Mechanics of the National Academy of Sciences of Ukraine

Assistant at the Department of Civil Safety, Labor Protection, Geodesy and Land Management (KrNU)
PhD Student at the Department of Vibropneumatic Transport Systems and Complexes (IGTM NAS of Ukraine)

O. Chencheva, Kremenchuk Mykhailo Ostrohradskyi National University

Candidate of Technical Sciences, Associate Professor, Associate Professor at the Department of Civil Safety, Labor Protection, Geodesy and Land Management

S. Zozulia, National Aviation University

Candidate of Technical Sciences, Dean of the Faculty of Environmental Safety, Engineering and Technology

V. Shevchenko, M.S. Poliakov Institute of Geotechnical Mechanics of the National Academy of Sciences of Ukraine

Doctor of Technical Sciences, Full Professor, Head of the Department of Vibropneumatic Transport Systems and Complexes

S. Lohvinkov, Simon Kuznets Kharkiv National University of Economics

Doctor of Technical Sciences, Senior Researcher, Professor at the Department of Technologies and Life Safety

References

Verner, I. Ye. (Ed.). (2023). Statistical Yearbook of Ukraine for 2022. State Statistics Service of Ukraine. https://ukrstat.gov.ua/druk/publicat/kat_u/2023/zb/11/year_22_u.pdf [in Ukrainian]

Tairova, T., Romanenko, N., & Slipachuk, O. (2021). Scientific guidelines for the prevention of occupational injuries caused by workers staying at the workplace in a state of alcoholic drinking. Labour Protection Problems in Ukraine, 37(3), 21–27. https://journal-nndipbop.com/index.php/journal/article/download/42/38 [in Ukrainian]

Hubachov, O., Sukach, S., Chencheva, O., & Tsybulnyk, N. (2021). Investigation of risks of insurance of accidents and traumatic events using the component method. Municipal Economy of Cities. Series: Engineering science and architecture, 4(164), 178–190. https://doi.org/10.33042/2522-1809-2021-4-164-178-190 [in Ukrainian]

Kim, D. K., & Park, S. (2021). An analysis of the effects of occupational accidents on corporate management performance. Safety Science, 138, 105228. https://doi.org/10.1016/j.ssci.2021.105228

Adaeze, N. O., Azuhairi, A. A., & Huda, B. Z. (2017). Factors associated with work related injuries among workers of an industry in Malaysia. International Journal of Public Health and Clinical Sciences (IJPHCS), 4(3), 97–108. https://www.researchgate.net/publication/329206251

Abukhashabah, E., Summan, A., & Balkhyour, M. (2019). Causes of Occupational Accidents and Injuries in Construction Industry in Jeddah City. Journal of King Abdulaziz University: Meteorology, Environment and Arid Land Agriculture Sciences, 28(1), 105–116. https://doi.org/10.4197/met.28-1.9

Lander, F., Nielsen, K. J., & Lauritsen, J. (2016). Work injury trends during the last three decades in the construction industry. Safety Science, 85, 60–66. https://doi.org/10.1016/j.ssci.2015.10.013

Animashaun, O., & Odeku, K. O. (2014). Industrial Accident and Safety Hazards at the Workplace: A Spatio-Physical Workplace Approach. Mediterranean Journal of Social Sciences, 5(20), 2949–2953. https://doi.org/10.5901/mjss.2014.v5n20p2949

Appiah, S. O. (2019). Working Conditions and Exposure to Work Related Injuries and Accidents at Kokompe-Accra Ghana. Ghana Journal of Geography, 11(2), 52–76. https://www.ajol.info/index.php/gjg/article/view/191981

Sukach, S. (2014). Multivariable mathematical model of comfortable air environment of classrooms. Transactions of Kremenchuk Mykhailo Ostrohradskyi National University, 5/2014(88), 112–117. https://visnikkrnu.kdu.edu.ua/statti/2014_5_112-5-2014.pdf [in Ukrainian]

Zaporozhets, O., Sukach, S., Halahan, O., & Kozlovska, T. (2017). Determination of the parameters optimum comfort in the working area facilities in air environment indicators. Transactions of Kremenchuk Mykhailo Ostrohradskyi National University, 1/2017(102), 17–21. https://visnikkrnu.kdu.edu.ua/statti/2017_1_17-21_1-2017.pdf [in Ukrainian]

Schenkelberg, F. (2023). An Introduction to the Cause and Effect Diagram. Accendo Reliability. https://accendoreliability.com/introduction-cause-effect-diagram/

Published

2024-04-05

How to Cite

Petrenko, I., Chencheva, O., Zozulia, S., Shevchenko, V., & Lohvinkov, S. (2024). A METHODOLOGY FOR DETERMINING RISKS BASED ON THE ANALYSIS OF INJURIES TO EMPLOYEES OF INDUSTRIAL ENTERPRISES. Municipal Economy of Cities, 1(182), 215–222. https://doi.org/10.33042/2522-1809-2024-1-182-215-222

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