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Journal of Failure Analysis and Prevention

, Volume 17, Issue 3, pp 462–476 | Cite as

A Hybrid Probabilistic Model for Evaluating and Simulating Human Error in Industrial Emergency Conditions (HEIE)

  • Antonella Petrillo
  • Fabio De Felice
  • Domenico Falcone
  • Alessandro Silvestri
  • Federico Zomparelli
Technical Article---Peer-Reviewed

Abstract

Over the years, many techniques have been developed for human reliability analysis (HRA). The main weakness of traditional HRA approaches is the use of a simple classification scheme without a link to a model of cognition in terms of mental processes. The present work is an attempt in this direction through a particular hybrid probabilistic model. The human error in industrial emergency model aims to develop an integrated methodological approach useful in critical infrastructures during an emergency condition. The proposed method, starting from the integration of existing techniques, develops a very flexible tool, able to take into account the main external and internal factors responsible of human error in emergency conditions. The model is able to estimate the evolution of human behavior and error following the evolution of the emergency scenario. The final result is a simulation model that calculates the contextualized human error probability, through which it is possible to estimate a realistic and detailed scenario of the conditions during the emergency management.

Keywords

Human reliability analysis Cognitive simulation Disaster Failure analysis Industrial plant 

Notes

Acknowledgments

This research represents a result of research activity carried out with the financial support of MiuR, namely PRIN 2012 “DIEM-SSP, Disasters and Emergencies Management for Safety and Security in industrial Plants”.

References

  1. 1.
    M. Barriere, D. Bley, S. Cooper, J. Forester, A. Kolaczkowski, W. Luckas, G. Parry, A. Ramey-Smith, C. Thompson, D. Whitehead, J. Wreathall, NUREG-1624: technical basis and implementation guidelines for a technique for human event analysis (ATHEANA). US Nuclear Regulatory Commission (2000)Google Scholar
  2. 2.
    R.G. Baron, Human factors in the process industries. in Human Factors and Decision Making: Their Influence on Safety and Reliability, ed. by ed. B.A. Sayers, Symposium for the Safety and Reliability Society, pp. 1–9Google Scholar
  3. 3.
    G.C. Bello, C. Columbari, The human factors in risk analyses of process plants: the control room operator model, TESEO. Reliab. Eng. 1, 3–14 (1980)CrossRefGoogle Scholar
  4. 4.
    F.T. Chandler, Y.H.J. Chang, A. Mosleh, J.L. Marble, R.L. Boring, D.I. Gertman, Human Reliability Analysis Methods—Selection Guidance for NASA. National Aeronautics and Space Administration (NASA), NASA/OSMA Technical Report, USA (2006)Google Scholar
  5. 5.
    F.T. Chandler, I.A. Heard, M. Presley, A. Burg, E. Midden, P. Mongan, NASA Human Error Analysis. National Aeronautics and Space Administration (NASA), USA (2010)Google Scholar
  6. 6.
    A. Chapanis, Man–Machine Engineering (Wadsworth Publishing Company, Belmont, 1965)Google Scholar
  7. 7.
    C.-M. Cheng, S.-L. Hwang, Applications of integrated human error identification techniques on the chemical cylinder change task. Appl. Ergon. 47, 274–284 (2015)CrossRefGoogle Scholar
  8. 8.
    F. De Felice, A. Petrillo, F. Zomparelli, A disaster risk management performance index to assess safety and security in industrial plants. Appl. Mech. Mater. 841, 373–378 (2016)CrossRefGoogle Scholar
  9. 9.
    F. De Felice, A. Petrillo, A. Bruzzone, F. Longo, A fuzzy cognitive maps model to develop a risk analysis model through the identification of critical human factors. in 27th European Modeling and Simulation Symposium, EMSS 2015, pp. 250–257. ISBN: 978-889799948-5 (2015)Google Scholar
  10. 10.
    F. De Felice, A. Petrillo, Methodological approach for performing human reliability and error analysis in railway transportation system. Int. J. Eng. Technol. 3, 341–353 (2011)Google Scholar
  11. 11.
    A. De Galizia, C. Duval, E. Serdet, P. Weber, C. Simon, B. Iung, Advanced investigation of HRA methods for probabilistic assessment of human barriers efficiency in complex systems for a given organisational and environmental context. in International Topical Meeting on Probabilistic Safety Assessment and Analysis, PSA (2015)Google Scholar
  12. 12.
    G. Di Bona, V. Duraccio, A. Silvestri, A. Forcina, Validation and application of a safety allocation technique (integrated hazard method) to an aerospace prototype. Proc. IASTED Int. Conf. Model. Identif. Control 2014, 284–290 (2014)Google Scholar
  13. 13.
    B.S. Dhillon, Human error data banks. Microelectron. Reliab. 30(5), 963–971 (1990)CrossRefGoogle Scholar
  14. 14.
    V. Di Pasquale, S. Miranda, R. Iannone, S. Riemma, A simulator for human error probability analysis (SHERPA). Reliab. Eng. Syst. Saf. 139, 17–32 (2015)CrossRefGoogle Scholar
  15. 15.
    V. Duraccio, D. Di Falcone, G. Bona, A. Silvestri, A. Forcina, Chemical risk evaluation: application of the Movarish methodology in an industry of the textile sector. in Proceedings of the 27th European Modeling and Simulation Symposium, EMSS (2015), pp. 451–456Google Scholar
  16. 16.
    D.I. Gertman, H.S. Blackman, J.L. Marble, J. Byers, C. Smith, The SPAR-H human reliability analysis method. U.S. Nuclear Regulatory Commission, NUREG/CR-6883, INL/EXT-05-00509, Washington DC, USA (2005)Google Scholar
  17. 17.
    G.W. Hannaman, A.J. Spurgin, Systematic human action reliability procedure (SHARP). EPRI NP-3583, Project 2170-3, Interim report, NUS Corporation, San Diego (California) (1984)Google Scholar
  18. 18.
    M. Hertsgaard, Nuclear Inc. The Men and Money Behind Nuclear Energy (Pantheon Books, New York, 1983), pp. 95–97Google Scholar
  19. 19.
    N. Hickling, in An Independent Review of a Rail-specific Human Reliability Assessment Technique for Driving Tasks, RSSBGoogle Scholar
  20. 20.
    E. Hollnagel, A. Marsden, Further development of the phenotype—genotype classification scheme for the analysis of human erroneous actions. JRC–European Commission–EUR EN (1996)Google Scholar
  21. 21.
    E. Hollnagel, Cognitive reliability and error analysis method—CREAM (Elsevier Science, Oxford, 1998)Google Scholar
  22. 22.
    A. Houshyar, G. Imel, A simulation model of the fuel handling in a nuclear reactor. Comput. Ind. Eng. 1996, 117–135 (1996)CrossRefGoogle Scholar
  23. 23.
    J. Joe, Boring, R., Modeling and quantification of team performance in human reliability analysis for probabilistic risk assessment. in Proceedings of the 12th International Conference on Probabilistic Safety Assessment and Management (PSAM 12, Paper# 7), (INL/CON-14-31339) (2014)Google Scholar
  24. 24.
    A.R. Kim, J. Park, Y. Kim, J. Kim, P.H. Seong, Quantification of performance shaping factors (PSFs)’ weightings for human reliability analysis (HRA) of low power and shutdown (LPSD) operations. Ann. Nucl. Energy 101, 375–382 (2017)CrossRefGoogle Scholar
  25. 25.
    J.W. Kim, W. Jung, A taxonomy of performance influencing factors for human reliability analysis of emergency tasks. J. Loss Prev. Process Ind. 16, 479–495 (2003)CrossRefGoogle Scholar
  26. 26.
    B. Kirwan, The validation of three human reliability quantification techniques—THERP, HEART and JHEDI. Part 1: technique descriptions and validation issues. Appl. Ergon. 27, 359–373 (1996)CrossRefGoogle Scholar
  27. 27.
    B. Kirwan, The validation of three human reliability quantification techniques—THERP, HEART and JHEDI: part iii: practical aspects of the usage of the techniques. Appl. Ergon. 28, 27–39 (1997)CrossRefGoogle Scholar
  28. 28.
    B. Kirwan, Human error identification techniques for risk assessment of high risk systems—part 1: review and evaluation of techniques. Appl. Ergon. 29, 157–177 (1998)CrossRefGoogle Scholar
  29. 29.
    B. Kirwan, H. Gibson, R. Kennedy, J. Edmunds, G. Cooksley, I. Umbers, Nuclear action reliability assessment (NARA): a data-based HRA tool, in Probabilistc Safety Assessment and Management, ed. by C. Splitzer, U. Schmocker, V.N. Dang (Springer, Berlin, 2004), pp. 1206–1211CrossRefGoogle Scholar
  30. 30.
    M. Konstandinidou, Z. Nivolianitou, C. Kiranoudis, N. Markatos, A fuzzy modeling application of CREAM methodology for human reliability analysis. Reliab. Eng. Syst. Saf 91, 706–716 (2006)CrossRefGoogle Scholar
  31. 31.
    K.T. Kosmowski, Human factors and functional safety analysis in designing the control rooms of industrial hazardous plants. Adv. Intell. Syst. Comput. 230, 499–510 (2014)Google Scholar
  32. 32.
    S.P. Kyung, J. in Lee, A new method for estimating human error probabilities: AHP–SLIM. Reliab. Eng. Syst. Saf. 93, 578–587 (2007)Google Scholar
  33. 33.
    H. Lu, H. Zhen, W. Mi, Y. Huang, A physically based approach with human-machine cooperation concept to generate assembly sequences. Comput. Ind. Eng. 89, 213–225 (2015)CrossRefGoogle Scholar
  34. 34.
    D.E. MacLeod, G.W. Parry, B.D. Sloane, P. Lawrence, E.M. Chan, A.V. Trifanov, Simplified human reliability analysis process for emergency mitigation equipment (EME) deployment. PSAM 2014—Probabilistic Safety Assessment and Management (2014)Google Scholar
  35. 35.
    A. Meel, W.D. Seider, U. Oktem, Analysis of management actions, human behavior, and process reliability in chemical plants. I. Impact of management actions. Process Saf. Prog. 27(1), 7–14 (2008)CrossRefGoogle Scholar
  36. 36.
    J. Park, W. Jung, J. Ha, Y. Shin, Analysis of operators’ performance under emergencies using a training simulator of the nuclear power plant. Reliab. Eng. Syst. Saf. 83, 179–186 (2004)CrossRefGoogle Scholar
  37. 37.
    J. Rasmussen, Skills, rules, knowledge; signals, signs and symbols and other distinctions in human performance models. IEEE Trans. Syst. Man Cybern. SMC 13(3), 257–266 (1983)CrossRefGoogle Scholar
  38. 38.
    A.C. Ribeiro, A.L. Sousa, J.P. Duarte, P.F. Frutuoso e Melo, Human reliability analysis of the Tokai-Mura accident through a THERP-CREAM and expert opinion auditing approach. Saf. Sci. 87, 269–279 (2016)CrossRefGoogle Scholar
  39. 39.
    A. Shanmugan, T. Paul Robert, Ranking of aircraft maintenance organization based on human factor performance. Comput. Ind. Eng. 88, 410–416 (2015)CrossRefGoogle Scholar
  40. 40.
    N.A. Stanton, C. Baber, Validating task analysis for error identification: reliability and validity of a human error prediction technique. Ergonomics 48, 1097–1113 (2005)CrossRefGoogle Scholar
  41. 41.
    A.D. Swain, H.E. Guttman, Handbook of human—reliability analysis with emphasis on nuclear power plant applications. Final Report. US Nuclear Regulatory Commission, NUREG/CR-1278, SAND-80-0200, Alberquerque, USA (1983)Google Scholar
  42. 42.
    P. Trucco, M.C. Leva, A probabilistic cognitive simulator for HRA studies (PROCOS). Reliab. Eng. Syst. Saf. 92, 1117–1130 (2007)CrossRefGoogle Scholar
  43. 43.
    J.C. Williams, Validation of human reliability assessment techniques. Reliab. Eng. 11, 149–162 (1985)CrossRefGoogle Scholar

Copyright information

© ASM International 2017

Authors and Affiliations

  • Antonella Petrillo
    • 1
  • Fabio De Felice
    • 2
  • Domenico Falcone
    • 2
  • Alessandro Silvestri
    • 2
  • Federico Zomparelli
    • 2
  1. 1.University of Naples “Parthenope”NaplesItaly
  2. 2.University of Cassino and Southern LazioCassinoItaly

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