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Development of system of automated occupational health and safety management in enterprises

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Warianty tytułu
Języki publikacji
EN
Abstrakty
EN
Purpose: Develop a system of automated occupational health and safety management to improve the procedure for minimizing occupational risks and ensure comprehensive protection of employees from the impacts of negative factors of the systems "man - machine - environment". Design/methodology/approach: The following set of scientific methods was used in the study: analysis of normative-legal documents and scientific-technical literature in the field of building and functioning of occupational safety and health management systems, methods of system analysis, simulation methods, namely discrete-event simulation (DES) of random and dynamic processes, methods of decision theory and data mining. Findings: Based on the results of the research, a system of automated occupational health and safety management, which due to the connection the functionally independent elements (according to a certain scheme) allows to provide comprehensive protection of employees from the impacts of negative factors of the system "man - machine - environment" and reduce occupational injuries and diseases, was developed. This is done by constant monitoring and promt correcting of parameters of impact on the employee of the specified factors. The developed system was implemented in the occupational health and safety management system of the industrial enterprise "Stalkanat-Silur" (Odessa, Ukraine), resulting in reducing the number of accidents, in particular, in dangerous areas of production by 33.3%, increasing the economic efficiency of the enterprise through increasing the level of productivity by 5% and reducing in the number of social insurance payments by 11%. Research limitations/implications: The developed system can be implemented both within separate industrial premises and in the enterprise as a whole, but the number of its elements could be changed (increase / decrease) depending on the number of jobs and dangerous areas that need control. Practical implications: The implementation of the proposed system allows to increase the level of economic efficiency of the enterprise by increasing the level of labor productivity due to reducing the negative impact on the employee of harmful factors and compliance with rational mode of work and rest in each workplace, as well as by reducing the number of social insurance payments due to reducing the occupational injuries and diseases. Originality/value: For the first time the system of automated occupational health and safety, which, in contrast to existing automated occupational risk minimization systems and traditional occupational health and safety management systems, provides comprehensive protection of employees from the the impacts negative factors of the system "man - machine - environment", by constant monitoring the parameters of such impact and their prompt correction in case of deviation of the specified parameters from the set criteria, was developed and proposed for use at enterprises, institutions and organizations.
Rocznik
Strony
28--41
Opis fizyczny
Bibliogr. 32 poz., rys.
Twórcy
  • Department of Systems Management Life Safety, Odessa Polytechnic State University, Shevchenko ave., 1, Odessa, 65044, Ukraine
  • Department of Systems Management Life Safety, Odessa Polytechnic State University, Shevchenko ave., 1, Odessa, 65044, Ukraine
Bibliografia
  • [1] ISO 45001:2018. Occupational health and safety management systems - Requirements with guidance for use, 2018.
  • [2] OHSAS 18001:2007. Occupational heaith and safety management systems - Requirements, OHSAS Project Group, 2007.
  • [3] OHSAS 18002:2008. Occupational health and safety management systems. Guidelines for the implementation of OHSAS 18001:2007, OHSAS Project Group, 2008.
  • [4] 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
  • [5] 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
  • [6] A.P. Bochkovskуi, Improvement of risk management principles in occupational health and safety, Naukovyi Visnyk Natsionalnoho Hirnychoho Universytetu 4 (2020) 94-104. DOI: https://doi.org/10.33271/nvngu/2020-4/094
  • [7] M.C. Noort, T.W. Reader, A. Gillespie, The sounds of safety silence: Interventions and temporal patterns unmute unique safety voice content in speech, Safety Science 140 (2021) 105289. DOI: https://doi.org/10.1016/j.ssci.2021.105289
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  • [9] S. Çalış, U.F. Küçükali, The work safety culture as a subculture: the structure of work safety culture in Turkey, Procedia Computer Science 158 (2019) 546-551. DOI: https://doi.org/10.1016/j.procs.2019.09.086
  • [10] A. Skład, Assessing the impact of processes on the occupational safety and health management system’s effectiveness using the fuzzy cognitive maps approach, Safety Science 117 (2019) 71-80. DOI: https://doi.org/10.1016/j.ssci.2019.03.021
  • [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] S. Rajendran, S. Giridhar, S. Chaudhari, P.K. Gupta, Technological advancements in occupational health and safety, Measurement: Sensors 15 (2021) 100045. DOI: https://doi.org/10.1016/j.measen.2021.100045
  • [13] I. Mohammadfam, M. Kamalinia, M. Momeni, R. Golmohammadi, Y. Hamidi, A. Soltanian, Evaluation of the quality of occupational health and safety management systems based on key performance indicators in certified organizations, Safety and Health at Work 8/2 (2017) 156-161. DOI: https://doi.org/10.1016/j.shaw.2016.09.001
  • [14] E.J. Tetzlaff, K.A. Goggins, A.L. Pegoraro, S.C. Dorman, V. Pakalnis, T.R. Eger, Safety culture: a retrospective analysis of occupational health and safety mining reports, Safety and Health at Work 12/2 (2021) 201-208. DOI: https://doi.org/10.1016/j.shaw.2020.12.001
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  • [17] A.P. Bochkovskyi, Elaboration of occupational risks evaluation models сonsidering 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
  • [18] A.P. Bochkovskуi, Elaboration of stochastic models to comprehensive evaluation of occupational risks in complex dynamic systems, Journal of Achievements in Materials and Manufacturing Engineering 104/1 (2021) 31-41. DOI: https://doi.org/10.5604/01.3001.0014.8484
  • [19] D. Podgórski, K. Majchrzycka, A. Dąbrowska, G. Gralewicz, M. Okrasa, Towards a conceptual framework of OSH risk management in smart working environments based on smart PPE, ambient intelligence and the Internet of Things technologies, International Journal of Occupational Safety and Ergonomics 23/1 (2017) 1-20. DOI: https://doi.org/10.1080/10803548.2016.1214431
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  • [31] V. Kulba, N. Bakhtadze, O. Zaikin, A. Shelkov, I. Chernov, Scenario analysis of management processes in the prevention and the elimination of consequences of man-made disasters, Procedia Computer Science 112 (2017) 2066-2075. DOI: https://doi.org/10.1016/j.procs.2017.08.247
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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-ccfea9d0-26a8-476e-8a5c-180d419704ac
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