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Management decision-making algorithm development for planning activities that reduce the production risk level

Treść / Zawartość
Identyfikatory
Warianty tytułu
Języki publikacji
EN
Abstrakty
EN
Purpose: Algorithm development for a measures phased expert assessment to reduce production risk at an industrial enterprise to adapt the expert method to the conditions for specific problem solving. Design/methodology/approach: To develop an algorithm for making management decisions, a step-by-step solution process was used. If the problem is solved under conditions of complete or partial uncertainty, an expert method of estimation was applied. In the mathematical model of management decision-making used criterion approach. At the same time, the methods of Sevij, Wald, and Hurwitz are considered to determine the criterion for choosing management decisions. Findings: A phased expert assessment of measures that reduce production risk at an industrial enterprise with the introduction of weighting factors in specified criteria is proposed. The expediency of applying the method of expert assessments and the Hurwitz criterion when planning measures to reduce industrial injuries is justified, since this approach links the preventive measures in the field of labour protection with the results of risk assessment and reduces subjectivity in making management decisions. Research limitations/implications: The proposed algorithm for expert assessment of measures to reduce production risk is universal for industrial enterprises. Practical implications: An algorithm has been developed to substantiate managerial decisions to reduce the production risks of the occurrence of traumatic events when planning preventive measures, which involves applying criteria for selecting measures based on the method of expert assessments and applying the Gurwitz criterion. Originality/value: Developed a consistent model of industrial risk management, which is based on a component method of assessing the risk of traumatic events and a mathematical model of management decisions. This model differs from the existing ones, taking into account all available risk-relevant information of the enterprise, stimulates preventive activity, and allows establishing the dependence of the level of industrial risk on the validity of measures on occupational safety and reducing the influence of the subjective component of expert judgments.
Rocznik
Strony
41--49
Opis fizyczny
Bibliogr. 23 poz., rys., tab.
Twórcy
autor
  • Public Agency "National Scientific and Research Institute of Industrial Safety and Occupational Safety and Health", 04060, Vavilovykh str.,13, Kyiv, Ukraine
  • Public Agency "National Scientific and Research Institute of Industrial Safety and Occupational Safety and Health", 04060, Vavilovykh str.,13, Kyiv, Ukraine
Bibliografia
  • [1] S. Ragimov, V. Sobyna, S. Vambol, V. Vambol, A. Feshchenko, A. Zakora, E. Strejekurov, V. Shalomov, Physical modelling of changes in the energy impact on a worker taking into account high-temperature radiation, Journal of Achievements in Materials and Manufacturing Engineering 91/1 (2018) 27-33, DOI: 10.5604/01.3001.0012.9654.
  • [2] S. Vambol, V. Vambol, 0. Kondratenko, V. Koloskov, Y. Suchikova, Substantiation of expedience of application of high-temperature utilization of used tires for liquefied methane production, Journal of Achievements in Materials and Manufacturing Engineering 87/2 (2018) 77-84, DOI: 10.5604/01.3001.0012.2830.
  • [3] V. Shatokha, Chasing shadows: technology and socioeconomic barriers versus climate targets for iron and steel industry, Archives of Materials Science and Engineering 92/1 (2018) 33-40, DOI: 10.5604/01.3001.0012.5510.
  • [4] S. Vambol, V. Vambol, Y. Suchikova, I. Bogdanov, 0. Kondratenko, Investigation of the porous GaP layers' chemical composition and the quality of the tests carried out, Journal of Achievements in Materials and Manufacturing Engineering 86/2 (2018) 49-60, DOI: 10.5604/01.3001.0011.8236.
  • [5] D. Sokolov, V. Sobyna, S. Vambol, V. Vambol, Substantiation of the choice of the cutter material and method of its hardening, working under the action of friction and cyclic loading, Archives of Materials Science and Engineering 94/2 (2018) 49-54, DOI: 10.5604/01.3001.0012.8658.
  • [6] W. Matysiak, T. Tański, M. Zaborowska, Manufacturing process and optical properties of zinc oxide thin films as photoanode in DSSC, Journal of Achievements in Materials and Manufacturing Engineering 86/1 (2018) 33-40, DOI: 10.5604/01.3001.0011.6016.
  • [7] S. Singh Nain, R. Sai, P. Sihag, S. Vambol, V. Vambol, Use of machine learning algorithm for the better prediction of SR peculiarities of WEDM of Nimonic-90 superalloy, Archives of Materials Science and Engineering 95/1 (2019) 12-19, DOI: 10.5604/01.3001.0013.1422.
  • [8] P. Shenbaga Velu, N. Rajesh Jesudoss Hynes, Numerical analysis of friction welded titanium joints, Journal of Achievements in Materials and Manufacturing Engineering 76/1 (2016) 26-29, DOI: 10.5604/17348412.1228630.
  • [9] C.K.M. Lee, Y. Lv, Z. Hong, Risk Modelling and Assessment for Distributed Manufacturing System, International Journal of Production Research 51/9 (2013) 1-15.
  • [10] T. Aven, Risk assessment and risk management: Review of recent advances on their foundation, European Journal of Operational Research 253 (2016) 1-13.
  • [11] I. Heckmann, T. Comes, S. Nickel, A critical review on supply chain risk - Definition, measure and modelling, Omega 52 (2015) 119-132.
  • [12] U. Arnold, Ö. Yildiz, Economic risk analysis of decentralized renewable energy infrastructures - A Monte Carlo Simulation approach. Renewable Energy 77 (2015) 227-239, DOI: 10.1016/j.renene.2014.11.059.
  • [13] Ya. Pobereznyi, L. Poberezhna, P.O. Maruschak, S.V. Panin, Assessment of Potential Environmental Risks from Saline Soils Subsidence, IOP Conference Series: Earth and Environmental Science, 2017, Available: https://iopscience.iop.org/article/10.1088/1755-1315/50/1/012046.
  • [14] V.Ye. Kolesnik, O.O. Borysovs'Ka, A.V. Pavlychenko, A.L. Shirin, Determination of trends and regularities of occurrence of emergency situations of technogenic and natural character in Ukraine, Naukovyi Visnyk Natsionalnoho Hirnychoho Universytetu 6 (2017) 124-131.
  • [15] K.Y. Rodionova, Globalization of the world economy: the nature and contradictions, Herald of the Voronezh Institute of High Technologies 9 (2012) 185-186.
  • [16] F. Schindler, V. Kostrova, Algorithmization of dynamic enterprise management structure building and target function of its development, Information Technology Application 1 (2016) 23-35, Available: https ://www.paneurouni.com/wp-content/uploads/2017/03/2016-01_articles_ita.pdf_0.pdf
  • [17] P.V. Penkov,. Expert methods to improve control systems, Herald of the Voronezh Institute of High Technologies 9 (2012) 108-110.
  • [18] L.V. Dicks, H.L. Wright, J.E. Ashpole, J. Hutchison, C.G. McCormack, B. Livoreil, K.P. Zulka, W.J. Sutherland, What works in conservation? Using expert assessment of summarised evidence to identify practices that enhance natural pest control in agriculture, Biodiversity and Conservation 25/7 (2016) 1383-1399, DOI: 10.1007/s10531-016-1133-7.
  • [19] R.M. Cooke, L.H.J. Goossens, Expert judgement elicitation for risk assessments of critical infrastructures, Journal of Risk Research 7/6 (2004) 643-656, DOI: 10.1080/1366987042000192237.
  • [20] A.B. Knol, P. Slottje, J.P. van der Sluijs, E. Lebret, The use of expert elicitation in environmental health impact assessment: a seven step procedure, Environmental Health 9 (2010) article Number: 19 Available: https://ehjournal.biomedcentral.com/articIes/10.1186/1476-069X-9-19.
  • [21] A.O. Vodianik, Methodological bases of risk factor consideration in the prevention of occupational injuries, abstract of PhD Thesis, NDIPOBOP, Kiev, 2008, 36
  • [22] O.E. Kruzhilko, Y.A. Polukarov, N.A. Prahovnik, et al. Use of expert judgment in solving management tasks in the field of occupational safety, Bulletin of NTUU "KPI". Mining Series 8 (2003) 154-158.
  • [23] O.E. Kruzhilko, Ya.B. Storozh, O.V. Bogdanova, I.Z. Lyutak, Application of the modified matrix method of production risk assessment at the enterprises of the construction industry, Journal of Donetsk Mining Institute 1/40 (2017) 107-112, DOI: 10.31474/1999-981x-2017-1-107-112.
Uwagi
PL
Opracowanie rekordu w ramach umowy 509/P-DUN/2018 ze środków MNiSW przeznaczonych na działalność upowszechniającą naukę (2019).
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-f4e54cd8-2408-49e1-a23d-b38efd53746f
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