Gianpaolo Di Bona
Department of Civil and Mechanical Engineering, University of Cassino and Southern Lazio, Cassino, Italy.
Department of Civil and Mechanical Engineering, University of Cassino and Southern Lazio, Cassino, Italy.
Department of Engineering, University of Naples “Parthenope”, Napoli, Italy.
Department of Engineering, University “Niccolò Cusano”, Roma, Italy.
Emergency management in industrial plants is a fundamental issue to ensure the safety of operators. The emergency management analyses two fundamental aspects: the system reliability and the human reliability. System reliability is the capability of ensuring the functional properties within a variability of work conditions, considering the possible deviations due to unexpected events. However, system reliability is strongly related to the reliability of its weakest component. The complexity of the processes could generate incidental situations and the worker appears (human reliability) to be the weakest part of the whole system. The complexity of systems influences operator’s ability to take decisions during emergencies. The aim of the present research is to develop a new approach to evaluate human error probability (HEP), called Systematic Human Reliability Analysis (SHRA). The proposed approach considers internal and external factors that affect operator’s ability. The new approach is based on Nuclear Action Reliability Assessment (NARA), Simplified Plant Analysis Risk Human Reliability (SPAR-H) and on the Performance Shaping Factors (PSFs) relationship. The present paper analysed some shortcomings related to literature approaches, especially the limitations of the working time. We estimated HEP, after 8 hours (work standard) during emergency conditions. The correlations between the advantages of these three methodologies allows proposing a HEP analysis during accident scenarios emergencies. SHRA can be used to estimate human reliability during emergencies. SHRA has been applied in a nuclear accident scenario, considering 24 hours of working time. The SHRA results highlight the most important internal and external factors that affect operator’s ability.
Keywords- Human factors, Environmental factors, Human reliability analysis, Human error probability, Performance shaping factors, Nuclear plant.
Bona, G. D., Falcone, D., Forcina, A., & Silvestri, L. (2021). Systematic Human Reliability Analysis (SHRA): A New Approach to Evaluate Human Error Probability (HEP) in a Nuclear Plant. International Journal of Mathematical, Engineering and Management Sciences, 6(1), 345-362. https://doi.org/10.33889/IJMEMS.2021.6.1.022.
Conflict of Interest
The authors confirm that there is no conflict of interest to declare for this publication
Authors express their sincere thanks to: the company operating in the nuclear industry and the authors really appreciate the effort of editors and referees in reviewing manuscript.
Allen, I.E., & Seaman, C.A. (2007). Likert scales and data analyses. Quality Progress, 40(7), 64-65.
Bello, G.C., & Colombari, V. (1980). The human factors in risk analyses of process plants: the control room operator model ‘TESEO’. Reliability Engineering, 1(1), 3-14.
Boring, R. (2005). Human reliability analysis methods for space safety. RMC, Session G: Human Error and Risk Assessment.
Boring, R.L. (2010). How many performance shaping factors are necessary for human reliability analysis? In Proceedings of the 10th International Probabilistic Safety Assessment & Management Conference (PSAM10) (pp. 32-42) Seattle, U.S., Createspace Independent Publishing Platform.
Calixto, E., Lima, G.B.A., & Firmino, P.R.A. (2013). Comparing SLIM, SPAR-H and Bayesian network methodologies. Open Journal of Science and Technology, 3(2), 31-41.
Čepin, M. (2008). Importance of human contribution within the human reliability analysis (IJS-HRA). Journal of Loss Prevention in the Process Industries, 21(3), 268-276.
Chiodo, E., Gagliardi, F., & Pagano, M. (2004). Human reliability analyses by random hazard rate approach. COMPEL-The International Journal for Computation and Mathematics in Electrical and Electronic Engineering, 23(1), 65-78.
Christie, P.M.J., & Levary, R.R. (1998). The use of simulation in planning the transportation of patients to hospitals following a disaster. Journal of Medical Systems, 22(5), 289-300.
Colangelo, F. (2012). The human factor in risk assessment methods in the workplace. Italian Journal of Occupational and Environmental Hygiene, 3(1), 49-53.
Cowan, M.L., & Cloutier, M.G. (1988). Medical simulation for disaster casualty management training. The Journal of Trauma and Acute Care Surgery, 28(1), S178-S182.
Currion, P., Silva, C.D., Van de Walle, B. (2007). Open source software for disaster management. Communications of the ACM, 50(3), 61-65.
De Ambroggi, M., & Trucco, P. (2011). Modelling and assessment of dependent performance shaping factors through analytic network process. Reliability Engineering & System Safety, 96(7), 849-860.
De Carlo, F., Arleo, M.A., & Tucci, M. (2014). OEE evaluation of a paced assembly line through different calculation and simulation methods: a case study in the pharmaceutical environment. International Journal of Engineering Business Management, 6(Godište 2014), 6-27.
De Carlo, F., Tucci, M., & Borgia, O. (2013). Conception of a prototype to validate a maintenance expert system. International Journal of Engineering and Technology, 5(5), 4273-4282.
De Felice, F., & Petrillo, A. (2011). Methodological approach for performing human reliability and error analysis in railway transportation system. International Journal of Engineering and Technology, 3(5), 341-353.
De Felice, F., Petrillo, A., & Zomparelli, F. (2016). A hybrid model for human error probability analysis. IFAC-PapersOnLine, 49(12), 1673-1678.
Di Bona, G., Duraccio, V., Silvestri, A., & Forcina, A. (2014, February). Validation and application of a safety allocation technique (integrated hazard method) to an aerospace prototype. In Proceedings of the IASTED International Conference on Modelling, Identification, and Control, MIC (pp. 284-290). Acta Press, Innsbruck; Austria; 17 February 2014 through 19 February 2014.
Di Pasquale, V., Iannone, R., Miranda, S., & Riemma, S. (2013). An overview of human reliability analysis techniques in manufacturing operations. In: Schiraldi, M.M. (ed) Operations Management. Intech, pp. 221-240. ISBN-978-953-51-1013-2.
Di Pasquale, V., Miranda, S., Iannone, R., & Riemma, S. (2015). A simulator for human error probability analysis (SHERPA). Reliability Engineering & System Safety, 139, 17-32.
Duraccio, V., Di Falcone, D., Bona, G., Silvestri, A., Forcina, A. (2015). Chemical risk evaluation: application of the Movarish methodology in an industry of the textile sector. Proceedings of the 27th European Modeling and Simulation, Symposium Dime University of Genoa, Bergeggi; Italy; 21 September 2015 through 23 September 2015, EMSS 2015, pp. 451-456.
Elmaraghy, W.H., Nada, O.A., & ElMaraghy, H.A. (2008). Quality prediction for reconfigurable manufacturing systems via human error modelling. International Journal of Computer Integrated Manufacturing, 21(5), 584-598.
Gertman, D.I., & Blackman, H.S. (1994). Human reliability and safety analysis data handbook. John Wiley & Sons, New York.
Gertman, D.I., Blackman, H.S., Marble, J.L., Byers, J.C., & Smith, C.L. (2005). The SPAR-H human reliability analysis method. U.S. Nuclear Regulatory Commission, NUREG/CR-6883, INL/EXT-05-00509, Washington DC, U.S.A.
Hannaman, G.W., & Spurgin, A.J. (1984). Systematic human action reliability procedure (SHARP). Interim Report (No. EPRI-NP--3583). NUS Corporation, San Diego, U.S.A.
Hannaman, G.W., Spurgin, A.J., & Lukic, Y. (1985). A model for assessing human cognitive reliability in PRA studies. In Conference Record for 1985 IEEE Third Conference on Human Factors and Nuclear Safety (pp. 343-353). IEEE. U.S.A.
Harris, D.R., & Hillman, G.C. (2014). Foraging and farming: the evolution of plant exploitation. Routledge, New York.
He, X., &Van Nes, F. (2012). Experience from adapting structured HRA methods to the oil and gas industry. The Annual European Safety and Reliability Conference, 2, 1019-1025.
Hollnagel, E. (1996). CREAM: reliability analysis and operator modeling. Reliability Engineering and Safety System, 52, 327-337.
Hollnagel, E. (1998). Cognitive reliability and error analysis method (CREAM). Elsevier, U.S.A.
Houshyar, A., & Imel, G. (1996). A simulation model of the fuel handling system in a nuclear reactor. Computers & Industrial Engineering, 30(1), 117-135.
Janius, R., Abdan, K., & Zulkaflli, Z.A. (2017). Development of a disaster action plan for hospitals in Malaysia pertaining to critical engineering infrastructure risk analysis. International Journal of Disaster Risk Reduction, 21, 168-175.
Jung, W., Park, J., Kim, J., & Ha, J. (2007). Analysis of an operators' performance time and its application to a human reliability analysis in nuclear power plants. IEEE Transactions on Nuclear Science, 54(5), 1801-1811.
Kariuki, S.G., & Löwe, K. (2007). Integrating human factors into process hazard analysis. Reliability Engineering & System Safety, 92(12), 1764-1773.
Kim, I.S. (2001). Human reliability analysis in the man–machine interface design review. Annals of Nuclear Energy, 28(11), 1069-1081.
Kirwan, B. (1996). The validation of three human reliability quantification techniques-THERP, HEART and JHEDI: Part 1-technique descriptions and validation issues. Applied Ergonomics, 27(6), 359-373.
Kirwan, B., Gibson, H., Kennedy, R., Edmunds, J., Cooksley, G., & Umbers, I. (2005). Nuclear action reliability assessment (NARA): a data-based HRA tool. Safety & Reliability Journal, 25(2), 38-45.
Konstandinidou, M., Nivolianitou, Z., Kiranoudis, C., & Markatos, N. (2006). A fuzzy modeling application of CREAM methodology for human reliability analysis. Reliability Engineering & System Safety, 91(6), 706-716.
Levi, L., Bregman, D., Geva, H., & Revach, M. (1998). Hospital disaster management simulation system. Prehospital and Disaster Medicine, 13(1), 22-27.
Lu, H., Zhen, H., Mi, W., & Huang, Y. (2015). A physically based approach with human–machine cooperation concept to generate assembly sequences. Computers & Industrial Engineering, 89, 213-225.
Lundqvist, P., & Gustafsson, B. (1992). Accidents and accident prevention in agriculture a review of selected studies. International Journal of Industrial Ergonomics, 10(4), 311-319.
Magnusson, P.S., Christensson, M., Eskilson, J., Forsgren, D., Hallberg, G., Hogberg, J., Larsson, F., Moestedt, A., & Werner, B. (2002). Simics: a full system simulation platform. Computer, 35(2), 50-58.
McLoughlin, D. (1985). A framework for integrated emergency management. Public Administration Review, 45, 165-172.
Mendonca, D., Beroggi, G.E., & Wallace, W.A. (2001). Decision support for improvisation during emergency response operations. International Journal of Emergency Management, 1(1), 30-38.
Park, K.S., & Lee, J. (2008). A new method for estimating human error probabilities: AHP–SLIM. Reliability Engineering & System Safety, 93(4), 578-587.
Pinto, J.M.O., Melo, P.F.E., & Saldanha, P.L.C. (2014). A DFM/Fuzzy/ATHEANA human failure analysis of a digital control system for a pressurizer. Nuclear Technology, 188(1), 20-33.
Rasmussen, M., Standal, M.I., & Laumann, K. (2015). Task complexity as a performance shaping factor: a review and recommendations in Standardized plant analysis risk-human reliability analysis (SPAR-H) adaption. Safety Science, 76, 228-238.
Rauschert, I., Agrawal, P., Sharma, R., Fuhrmann, S., Brewer, I., & MacEachren, A. (2002). Designing a human-centered, multimodal GIS interface to support emergency management. In Proceedings of the 10th ACM International Symposium on Advances in Geographic Information Systems(pp.119-124). DOI: 10.1145/585147.585172.
Reznek, M., Smith-Coggins, R., Howard, S., Kiran, K., Harter, P., & Krummel, T. (2003). Emergency medicine crisis resource management (EMCRM): Pilot study of a simulation-based crisis management course for emergency medicine. Academic Emergency Medicine, 10(4), 386-389.
Schafer, W.A., Ganoe, C.H., & Carroll, J.M. (2007). Supporting community emergency management planning through a geo collaboration software architecture. Computer Supported Cooperative Work, 16(4-5), 501-537.
Scott, Z., & Few, R. (2016). Strengthening capacities for disaster risk management I: insights from existing research and practice. International Journal of Disaster Risk Reduction, 20, 145-153.
Shanmugam, A., & Robert, T.P. (2015). Ranking of aircraft maintenance organization based on human factor performance. Computers & Industrial Engineering, 88, 410-416.
Sheridan, T.B., & Ferrell, W.R. (1974). Man-machine systems; information, control, and decision models of human performance. Journal of Dynamic Systems Measurement and Control, 27(1). The MIT press.
Swain, A.D., & Guttmann, H.E. (1983). Handbook of human-reliability analysis with emphasis on nuclear power plant applications. Final report (No. NUREG/CR--1278). Sandia National Labs. Albuquerque, NM (USA).
Trucco, P., & Leva, M.C. (2007). A probabilistic cognitive simulator for HRA studies (PROCOS). Reliability Engineering & System Safety, 92(8), 1117-1130.
Williams, J.C. (1985). Validation of human reliability assessment techniques. Reliability Engineering, 11(3), 149-162.
Williams, J.C. (1986). HEART-a proposed method for assessing and reducing human error. In Ninth Advances in Reliability Technology Symposium. NEC, Birmingham, AEA, Technology, Culcheth, Warrington. PP. B3. R.1 - B3. R.13.
Xu, P.J., Peng, Q.Y., Wen, C., Guo, J.W., & Zhan, S.G. (2014). Human reliability analysis on high-speed train dispatcher based on THERP and Markov theories. Journal of Transportation Systems Engineering and Information Technology, 14(6), 133-140.
Yang, Y., Chen, X., Zhang, J., & Kang, R. (2014). Human reliability test and identification of HCR model basic parameters for multi-factor “Meta-Operation”. In Safety and Reliability: Methodology and Applications (pp. 1025-1032). CRC Press. Wroclaw, Poland 14-18 September 2014.
Zhou, X., Shi, Y., Deng, X., & Deng, Y. (2017). D-DEMATEL: a new method to identify critical success factors in emergency management. Safety Science, 91, 93-104.