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Elaboration of stochastic models to comprehensive evaluation of occupational risks in complex dynamic systems

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Warianty tytułu
Języki publikacji
EN
Abstrakty
EN
Purpose: Elaborate stochastic models to comprehensive evaluation of occupational risks in “man - machine - environment” systems taking into account the random and dynamic nature of the impact on the employee of negative factors over time. Design/methodology/approach: Within study, the methods of probability theory and the theory of Markov processes - to find the limit distribution of the random process of dynamic impact on the employee of negative factors over time and obtain main rates against which the level of occupational risks within the "man - machine - environment" systems can be comprehensively evaluated; Erlang phases method, Laplace transform, difference equations theory, method of mathematical induction - to elaborate a method of analytical solution of the appropriate limit task for a system of differential equations in partial derivatives and appropriate limit conditions were used. Findings: A system of differential equations in partial derivatives and relevant limit conditions is derived, which allowed to identify the following main rates for comprehensive evaluation of occupational risks in systems "man - machine - environment": probability of excess the limit of the employee's accumulation of negative impact of the harmful production factor; probability of the employee’s injury of varying severity in a random time. An method to the solution the limit task for a system of differential equations, which allows to provide a lower bounds of the probability of a certain occupational danger occurrence was elaborated. Research limitations/implications: The elaborated approach to injury risk evaluation is designed to predict cases of non-severe injuries. At the same time, this approach allows to consider more severe cases too, but in this case the task will be more difficult. Practical implications: The use of the elaborated models allows to apply a systematic approach to the evaluation of occupational risks in enterprises and to increase the objectivity of the evaluation results by taking into account the real characteristics of the impact of negative factors on the employee over time. Originality/value: For the first time, a special subclass of Markov processes - Markov drift processes was proposed and substantiated for use to comprehensive evaluation of occupational risks in “man - machine - environment” systems.
Rocznik
Strony
31--41
Opis fizyczny
Bibliogr. 24 poz.
Twórcy
  • Department of Systems Management Life Safety, Odessa National Polytechnic University, 1 Shevchenko Ave., Odessa, 65044, Ukraine
Bibliografia
  • [1] A.P. Bochkovskyi, Elaboration of occupational risks evaluation models considering the dynamics of impact of harmful factors, Journal of Achievements in Materials and Manufacturing Engineering 102/2 (2020) 76-85. DOI: https://doi.org/10.5604/01.3001.0014.6777
  • [2] M.V. Kosteriev, V.V. Litvinov, Development of an analytical estimation method of the fault risk in the power system, Eastern-European Journal of Enterprise Technologies 4/2(76) (2015) 44-50 (in Ukrainian). DOI: https://doi.org/10.15587/1729-4061.2015.47290
  • [3] G. Zwetsloot, S. Leka, P. Kines, A. Jain, Vision zero: Developing proactive leading indicators for safety, health and wellbeing at work, Safety Science 130 (2020) 104890. DOI: https://doi.org/10.1016/j.ssci.2020.104890
  • [4] V. Golinko, S. Cheberyachko, O. Deryugin, O. Tretyak, O. Dusmatova, Assessment of the risks of occupational diseases of the passenger bus drivers, Safety and Health at Work 11/4 (2020) 543-549. DOI: https://doi.org/10.1016/j.shaw.2020.07.005
  • [5] A. Fernandes, M. Figueiredo, J. Ribeiro, J. Neves, H. Vicente, Psychosocial Risks Assessment in Cryopreservation Laboratories, Safety and Health at Work 11/4 (2020) 431-442. DOI: https://doi.org/10.1016/j.shaw.2020.07.003
  • [6] A. Kania, K. Cesarz-Andraczke, J. Odrobiński, Application of FMEA method for an analysis of selected production process, Journal of Achievements in Materials and Manufacturing Engineering 91/1 (2018) 34-40. DOI: https://doi.org/10.5604/01.3001.0012.9655
  • [7] P.G. Belov, Sistemny analiz i modelirovanie opasnykh protsessov v tekhnosfere, ACADEMA, Moscow, 2003 (in Russian).
  • [8] T. Aven, Risk assessment and risk management: Review of recent advances on their foundation, European Journal of Operational Research 253/1 (2016) 1-13. DOI: https://doi.org/10.1016/j.ejor.2015.12.023
  • [9] V.F. Stoetskiy, V.I. Golinko, L.V. Dranishnikov, Risk assessment for man-made accidents, Naukovyi Visnyk Natsionalnoho Hirnychoho Universytetu 3 (2014) 117-124 (in Russian).
  • [10] O. Kruzhilko, V. Maystrenko, Management decision-making algorithm development for planning activities that reduce the production risk level, Journal of Achievements in Materials and Manufacturing Engineering 93/1-2 (2019) 41-49. DOI: https://doi.org/10.5604/01.3001.0013.4141
  • [11] O. Kruzhilko, V. Maystrenko, V. Kalinchyk, Y. Polukarov, L. Mitiuk, N. Bilotserkivska, L. Borysova, T. Kachur, Development of the effective information and analytical support of the OSH management system, Journal of Achievements in Materials and Manufacturing Engineering 99/2 (2020) 72-84. DOI: https://doi.org/10.5604/01.3001.0014.1777
  • [12] ISO 45001:2018: Occupational health and safety management systems - Requirements with guidance for use, 2018.
  • [13] OHSAS 18001:2007: Occupational heaith and safety management systems - Requirements, OHSAS Project Group, 2007.
  • [14] OHSAS 18002:2008: Occupational health and safety management systems. Guidelines for the implementation of OHSAS 18001:2007, OHSAS Project Group, 2008.
  • [15] Eurostat Statistics Explained, Self-reported accidents at work - key statistics. Available at: https://ec.europa.eu/eurostat/statistics-explained/index.php?title=Self-reported_accidents_at_work_-_key_statistics#Incidence_of_accidents
  • [16] Eurostat Statistics Explained, Accidents at work statistics. Available at: https://ec.europa.eu/eurostat/statistics-explained/index.php?title=Accidents_at_work_statistics#Number_of_accidents
  • [17] A.P. Bochkovskyi, Actualization of the scientific principles elaboration on evaluating the risks of occupational danger occurrence, Naukovyi Visnyk Natsionalnoho Hirnychoho Universytetu 6 (2018) 95-103. DOI: https://doi.org/10.29202/nvngu/2018/14
  • [18] A.P. Bochkovskyi, N.Yu. Sapozhnikova, Minimization of the “human factor” influence in Occupational Health and Safety, Naukovyi Visnyk Natsionalnoho Hirnychoho Universytetu 6 (2019) 95-106. DOI: https://doi.org/10.29202/nvngu/2019-6/14
  • [19] A.P. Bochkovskyi, N.Yu. Sapozhnikova, V.D. Gogunskii, Legal and organizational issues of improving the labor protection and industrial safety level at Ukrainian enterprises, Naukovyi Visnyk Natsionalnoho Hirnychoho Universytetu 5 (161) (2017) 100-108.
  • [20] B.V. Hnedenko, Y.N. Kovalenko, Vvedenye v teoryiu massovoho obsluzhyvanyia, 3-e yzd., KomKnyha, Moskva, 2005 (in Russian).
  • [21] M.Ya. Postan, Economic-mathematical models of multimodal transport, Astroprint, Odessa, 2006 (in Russian).
  • [22] V.I. Tihonov, M.A. Mironov, Markovskie protsessyi, Sovetskoe radio, Moskva, 1977 (in Russian).
  • [23] A.O. Gelfond, Ischislenie konechnyih raznostey, URSS, 2018 (in Russian).
  • [24] L. Koralov, Y.G. Sinai, Theory of Probability and Random Processes, Springer-Verlag, Berlin Heidelberg, 2007.
Uwagi
PL
Opracowanie rekordu ze środków MNiSW, umowa Nr 461252 w ramach programu "Społeczna odpowiedzialność nauki" - moduł: Popularyzacja nauki i promocja sportu (2021).
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-b1208ea9-6dc2-441f-b39c-ad5bdb49eed7
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