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Improving occupational safety management with the use of human reliability analysis methods

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Języki publikacji
EN
Abstrakty
EN
The aim of this work is to review the basic issues and problems related to the analysis of human reliability in terms of the possibility of using the methods functioning in this area to improve occupational safety management. Methods of human reliability analysis (HRA) are related to the prediction and assessment of system failures, which are the result of incorrect actions or omissions by a human, and not the failure of a physical element in the system. The paper presents the significance of the problem of human reliability from the point of view of accidents; describes HRA as a process with three main components; characterizes human errors using various criteria as well as discusses the generations of HR analysis and evaluation methods, including factors influencing the performance. The basic guidelines for the selection of methods for reliability analysis were also presented in terms of their possible use for improving the health and safety management system.
Wydawca
Rocznik
Strony
120--131
Opis fizyczny
Bibliogr. 47 poz., tab.
Twórcy
autor
  • Częstochowa University of Technology, Poland
Bibliografia
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  • 9.DOE-HDBK-1208-2012, Accident and Operational Safety Analysis, Volume I: Accident Analysis Techniques, US Department of Energy.
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  • 11.Embrey, D.E., 1983. The Use of Performance Shaping Factors and Quantified Expert Judgment in the Evaluation of Human reliability: An Initial Appraisal, NUREG/CR-2986, Brookhaven National Laboratory.
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  • 16.Gertman, D., Blackam, H., Marble, J., Byers, C , Smith, C, 2004. The SPAR-H human reliability analysis method, NUREG/CR-6883. Idaho National Laboratory, US Nuclear Regulatory Commission Office of Nuclear Regulatory Research Washington, DC.
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  • 19. Helmreich, R.L., 2000. On error management: lessons from aviation, British Medical Journal, 320(7237) 781-785, DOI: 10.1136/bmj.320.7237.781
  • 20.Hollnagel, E., 1993. Human reliability analysis: Context and control, Academic Press.
  • 21.Hollnagel, E., 1998. Cognitive Reliability and Error Analysis Method (CREAM), Elsevier Science, Amsterdam.
  • 22.Humphreys, P. (ed.) 1988. Human Reliability Assessor Guide, Safety and Reliability Directorate, UK, RTS 88/95Q.
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  • 25.Kariuki, S.G., Loewe, K., 2007. Integrating human factors into process analysis, Reliability Engineering and System Safety, 92, 1764-1773, DOI: 10.1016/j.ress.2007.01.002
  • 26.Kirwan, B., 1996. The validation of three human reliability quantification techniques, THERP, HEART and JHESI: Part 1 - technique descriptions and validation issues, Applied Ergonomics, 27(6), 359-337, DOI: 10.1016/s0003-6870(96)00044-0
  • 27.Kirwan, B., Kennedy, R., Taylor-Adams, S., Lambert ,B., 1997. The validation of three human reliability quantification techniques THERP, HEART and JHEDI: Part II – results of validation exercise, Applied Ergonomics, 28(1), 17-25, DOI: 10.1016/S0003-6870(96)00045-2
  • 28.Kirwan, B., 1998. Human error identification techniques for risk assessment of high risk systems – Part 1: Review and evaluation of techniques, Applied Ergonomics, 29(3), 157-177, DOI: 10.1016/S0003-6870(98)00010-6
  • 29.Klimecka-Tatar, D., Niciejewska, M., 2016. The OHS management system in the small-sized production company, Production Engineering Archives, 13(4), 49-52.
  • 30.Law, W.K., Chan, A.H.S., Pun, K.F., 2006. Prioritizing the safety management elements, Industrial Management and Data Systems, 106(6), 778-792, DOI:10.1108/02635570610671470
  • 31.Lyons, M., Adams, S., Woloshynowych, M., Vincent, C., 2004. Human reliability analysis in healthcare: A review of techniques, International Journal of Risk & Safety in Medicine, 16, 223-237.
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  • 36.Reason, J., 1990. Human Error. Cambridge University Press, New York. Ren, J., Jenkinson, I., Wang, J., Xu, D.L., Yang, J.B., 2008. A methodology to model causal relationships in offshore safety assessment focusing on human and organizational factors, Journal of Safety Research, 39, 87-100.
  • 37.Stewart, M.G., Melchersand, R.E., 1997. Probabilistic Risk Assessment of Engineering Systems, Chapman and Hall, London, Berlin.
  • 38. Seaver, D.A., Stillwell, W.G., 1983. Procedures for using expert judgement to estimate human error probabilities in nuclear power plant operations, NUREG/CR-2743, US Nuclear Regulatory Commission, Washington DC.
  • 39.Stanton, N.A., Salmon, P.M., Walker, G.H., Baber, C., Jenkins, D.P., 2005. Human factors methods: a practical guide for engineering and design, Ashgate Pub. Co., Aldershot, England, 2005.
  • 40.Swain, A.D., Guttmann, H.E., 1983. Handbook of human reliability analysis with emphasis on nuclear power plant applications, NUREG/CR-1278, US Nuclear Regulatory Commission, Washington, DC.
  • 41.Swain, A.D., 1987. Accident Sequence Evaluation Program Human Reliability Analysis Procedure, NUREG/CR-4772, US Nuclear Regulatory Commission, Washington, DC.
  • 42.Tabor, J., 2019. Fuzzy TOPSIS in the Assessment of OHS Management System, System Safety: Human-Technical Facility - Environment, 1(1), 18-25, DOI: 10.2478/czoto-2019-0003
  • 43.USNRC, 2000. Technical Basis and Implementation Guidelines for A Technique for Human Event Analysis (ATHEANA), NUREG-1624, Division of Risk Analysis and Applications, Office of Nuclear Regulatory Research, Washington DC.
  • 44.Whalley, S. P., 1988. Minimizing the cause of human error, [In:] 10th Advances in Reliability Technology Symposium, G.P. Libberton (ed.), London: Elsevier.
  • 45.Williams, J., 1986. HEART – A proposed method for assessing and reducing human error, [In:] Ninth Advances in Reliability Technology Symposium, University of Bradford, NCRS, UK, pp. B3/R/1-B3/R/13.
  • 46.Williams, J.C., 1989. Validation of human reliability assessment techniques, Reliability Engineering, 11, 149-162.
  • 47.Williams, J.C., 1992. Toward and improved Evaluation Analysis Tool for Users of Heart, [In:] Proceedings of the International Conference on Hazard Identification and Risk Analysis, Human Factors and Human Reliability in Process Safety, 15-17 January 1992, Orlando, Florida.
Uwagi
Opracowanie rekordu ze środków MEiN, umowa nr SONP/SP/546092/2022 w ramach programu "Społeczna odpowiedzialność nauki" - moduł: Popularyzacja nauki i promocja sportu (2022-2023).
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-18794947-a105-440d-bdad-0024b63aea93
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