Assessment of professional risks of the driver of a technological truck for forestry conditions
Abstract
Purpose: The aim of this work is to improve the process of determining the level of professional risk of the driver of a technological truck, by determining the relationships between various external and internal dangerous factors that increase the probability of an unusual event during the performance of production activities.
Method: to use the fuzzy method “Decision Making Trial and Evaluation” (fuzzy Dematel).
Theoretical value of research: thirty dangerous factors that can lead to a violation of the musculoskeletal system of the driver of a technological truck during the performance of labor obligations at forestry enterprises have been identified. The most influential dangerous factors were determined by the fuzzy Dematel method, which have the greatest influence on the occurrence of a dangerous event related to the work of a driver of a technological truck.
Practical value of research: a cause-and-effect relationship was established between the identified dangerous factors that affect the work of the driver of a technological truck during the performance of professional activities, which allows the identification of the most causal and consequential dangerous factors.
Value of research: an algorithm for the assessment of professional risks has been developed taking into account.
Downloads
References
Deyneka, A.M., Stepanyshyn, V.M. (2013). Efficiency of planning of measures on a labour protection of forestry enterprises on the basis of evaluation of risk of occupational traumatism. Scientific bulletin of NLTU of Ukraine, 23(17), 129-138.
DSTU standard ISO 45001:2019 Occupational health and safety management systems. Requirements and guidelines for application (ISO 45001:2018, IDT). Kyiv: SE "UkrNDNC", 2019. 39. Available from : http://online.budstandart.com/ua/catalog/doc-page.html?id_doc=88004
Standard DSTU IEC/ISO 31010:2013 Risk management. General risk assessment methods (IEC/ISO 31010:2009, IDT). Kyiv: SE “UkrNDNC”, 2015. 74 p. Available from : https://khoda.gov.ua/image/catalog/files/dstu%2031010.pdf.
Bochkovskyi, A.P. (2018). Theoretical aspects of the universalization of occupational risk assessment in occupational health and safety management systems. Bulletin of the Lviv State University of Life Safety, 14, 134-151.Available from : https://journal.ldubgd.edu.ua/index.php/Visnuk/article/view/325.
Tsopa, V., Cheberiachko, S., Yavorska, O., Deryugin, O., Bas, I. (2022). Increasing the safety of the transport process by minimizing the professional risk of a dump truck driver. Mining of mineral deposits, 16(3), 101-108. https://doi.org/10.33271/mining16.03.101.
Nakata, C., Itaya, A., Inomata, Y., Yamaguchi, H., Yoshida, C., Nakazawa, M. (2022). Working conditions and fatigue in log truck drivers within the Japanese forest industry. International Journal of Forest Engineering. https://doi.org/10.1080/14942119.2022.2090180.
Bachmann, L.H., Lichtenstein, B., St Lawrence, J.S., Murray, M., Russell, G.B., Hook, E.W. 3rd. (2018). Health Risks of American Long-Distance Truckers: Results From a Multisite Journal of Occupational and Environmental Medicine, 60(7), e349-e355. https://doi.org/10.1097/JOM.0000000000001319.
Golinko, V., Cheberyachko, S., Deryugin, O., Tretyak, O., Dusmatova, O. (2020). Assessing risks of occupational diseases in passenger bus drivers. Safety and Health at Work, 11(4), 543-549. https://doi.org/10.1016/j.shaw.2020.07.005.
Johannsen, H., Otte, D., Urban, M. (2015). Pre‐crash analysis of accidents involving turning trucks and bicyclists. In: IRCOBI Council (Hg.): 2015 IRCOBI Conference Proceedings. IRCOBI 2015. Lyon, France, 09-11.09. International Research Council on the Biomechanics of Injury, S. 750–766. Available from : http://www.ircobi.org/wordpress/downloads/irc15/pdf_files/87.pdf.
Joseph, L., Standen, M., Paungmali, A., Kuisma, R., Sitilertpisan, P., Pirunsan, U. (2020). Prevalence of musculoskeletal pain among professional drivers: A systematic review. Journal of Occupational Health, 62, 1-17. https://doi.org/10.1002/1348-9585.12150.
Kose, Y., Karabayir, A.N., Cevikcan E. (2020). The Quick Exposure Check (QEC) Model Proposal Based on Fuzzy Logic for Work-Related Musculoskeletal Risk Assessment. In: Kahraman, C., Cebi, S., Cevik Onar, S., Oztaysi, B., Tolga, A., & Sari, I. Intelligent and Fuzzy Techniques in Big Data Analytics and Decision Making. INFUS 2019. Advances in Intelligent Systems and Computing, vol 1029. Springer, Cham. https://doi.org/10.1007/978-3-030-23756-1_12.
Gómez-Galán, M., Callejón-Ferre, Á.-J., Pérez-Alonso, J., Díaz-Pérez, M., Carrillo-Castrillo, J.-A. (2020). Musculoskeletal Risks: RULA Bibliometric Review. International Journal of Environmental Research and Public Health, 17(12), 4354. https://doi.org/10.3390/ijerph17124354.
Nagorna, A.M., Sokolova, M.P., Kononova, I.G. (2016). Occupational morbidity of medical workers as a medical and social problem. Ukrainian journal on problems of occupational medicine, 2(47), 3-16. https://doi.org/10.33573/ujoh2016.02.003.
Kee, D. (2020). An empirical comparison of OWAS, RULA and REBA based on self-reported discomfort. International Journal of Occupational Safety and Ergonomics, 26(2), 285-295. https://doi.org/10.1080/10803548.2019.1710933.
Hita-Gutiérrez, M., Gómez-Galán, M., Díaz-Pérez, M., & Callejón-Ferre, Á.-J. (2020). An Overview of REBA Method Applications in the World. Journal of Environmental Research and Public Health, 17(8), 2635. https://doi.org/10.3390/ijerph17082635.
Chauhan, A., Singh, A., Jharkharia, S. (2018). An interpretive structural modeling (ISM) and decision-making trail and evaluation laboratory (DEMATEL) method approach for the analysis of barriers of waste recycling in India. Journal of the Air & Waste Management Association, 68(2), 100-110, https://doi.org/10.1080/10962247.2016.1249441.
Marto, A., Hajihassani, M., Jahed Armaghani, D., Tonnizam Mohamad, E., Makhtar, A.M. (2014). A novel approach for blast-induced flyrock prediction based on imperialist competitive algorithm and artificial neural network. The Scientific World Journal, (2014), 1-11. https://doi.org/10.1155/2014/643715.
Trivedi, R., Singh, T.N., Raina, A.K. (2014). Prediction of blast-induced flyrock in Indian limestone mines using neural networks. Journal of Rock Mechanics and Geotechnical Engineering, 6(5), 447-454. https://doi.org/10.1016/j.jrmge.2014.07.003.
Pandey M., Litoriya R., Pandey P. (2019). Application of Fuzzy DEMATEL approach in analyzing Mobile application issues. Proceedings of ISP RAS, 31(4), 73-96. https://doi.org/10.1134/S0361768819050050.
Seker, S., Zavadskas, E.K. (2017). Application of Fuzzy DEMATEL Method for Analyzing Occupational Risks on Construction Sites. Sustainability, 9, 2083. https://doi.org/10.3390/su9112083.
Sadehnezhad, F., Zaranejad, M., Gheitani, A. (2013). Using combinational method DEMATEL and ANP with fuzzy approach to evaluate business intelligence performance. European Online Journal of Natural and Social Sciences, 2(3), 1374-1386. Available from : https://european-science.com/eojnss/article/view/757.
Lin, C.J., Wu, W.W. (2007). A causal analytical method for group decision-making: Under fuzzy environment. Expert Systems with Applications, 34(1), 205-213. https://doi.org/10.1016/j.eswa.2006.08.012.
Abstract views: 269 PDF Downloads: 209
Copyright (c) 2022 Vitaliy Tsopa, Natalia Borodina, Serhii Cheberiachko, Oleg Deryugin, Vitaly Hilpert, Oleksandr Borovytskyi

This work is licensed under a Creative Commons Attribution 4.0 International License.
The authors agree with the following conditions:
1. Authors retain copyright and grant the journal right of first publication (Download agreement) with the work simultaneously licensed under a Creative Commons Attribution License that allows others to share the work with an acknowledgment of the work's authorship and initial publication in this journal.
2. Authors have the right to complete individual additional agreements for the non-exclusive spreading of the journal’s published version of the work (for example, to post work in the electronic repository of the institution or to publish it as part of a monograph), with the reference to the first publication of the work in this journal.
3. Journal’s politics allows and encourages the placement on the Internet (for example, in the repositories of institutions, personal websites, SSRN, ResearchGate, MPRA, SSOAR, etc.) manuscript of the work by the authors, before and during the process of viewing it by this journal, because it can lead to a productive research discussion and positively affect the efficiency and dynamics of citing the published work (see The Effect of Open Access).