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The role of human error in risk analysis: Application to pre- and post-maintenance procedures of process facilities

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  • Noroozi, Alireza
  • Khakzad, Nima
  • Khan, Faisal
  • MacKinnon, Scott
  • Abbassi, Rouzbeh

Abstract

Human factors play an important role in the safe operation of a facility. Human factors include the systematic application of information about human characteristics and behavior to increase the safety of a process system. A significant proportion of human errors occur during the maintenance phase. However, the quantification of human error probabilities in the maintenance phase has not been given the amount of attention it deserves. This paper focuses on a human factors analysis in pre-and post- pump maintenance operations. The procedures for removing process equipment from service (pre-maintenance) and returning the equipment to service (post-maintenance) are considered for possible failure scenarios. For each scenario, human error probability is calculated for each activity using the Success Likelihood Index Method (SLIM). Consequences are also assessed in this methodology. The risk assessment is conducted for each component and the overall risk is estimated by adding individual risks. The present study is aimed at highlighting the importance of considering human error in quantitative risk analyses. The developed methodology has been applied to a case study of an offshore process facility.

Suggested Citation

  • Noroozi, Alireza & Khakzad, Nima & Khan, Faisal & MacKinnon, Scott & Abbassi, Rouzbeh, 2013. "The role of human error in risk analysis: Application to pre- and post-maintenance procedures of process facilities," Reliability Engineering and System Safety, Elsevier, vol. 119(C), pages 251-258.
    • Handle: RePEc:eee:reensy:v:119:y:2013:i:c:p:251-258
    DOI: 10.1016/j.ress.2013.06.038
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    References listed on IDEAS

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    1. Khakzad, Nima & Khan, Faisal & Amyotte, Paul, 2011. "Safety analysis in process facilities: Comparison of fault tree and Bayesian network approaches," Reliability Engineering and System Safety, Elsevier, vol. 96(8), pages 925-932.
    2. M J Carr & A H Christer, 2003. "Incorporating the potential for human error in maintenance models," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 54(12), pages 1249-1253, December.
    3. Khakzad, Nima & Khan, Faisal & Amyotte, Paul, 2013. "Risk-based design of process systems using discrete-time Bayesian networks," Reliability Engineering and System Safety, Elsevier, vol. 109(C), pages 5-17.
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    1. Asadzadeh, S.M. & Azadeh, A., 2014. "An integrated systemic model for optimization of condition-based maintenance with human error," Reliability Engineering and System Safety, Elsevier, vol. 124(C), pages 117-131.
    2. Rajesh Kumar Singh & Ayush Gupta, 2020. "Framework for sustainable maintenance system: ISM–fuzzy MICMAC and TOPSIS approach," Annals of Operations Research, Springer, vol. 290(1), pages 643-676, July.
    3. Peter J. Majewicz & Paul Blessner & Bill Olson & Timothy Blackburn, 2020. "Estimating the Probability of Human Error by Incorporating Component Failure Data from User‐Induced Defects in the Development of Complex Electrical Systems," Risk Analysis, John Wiley & Sons, vol. 40(1), pages 200-214, January.
    4. Abrishami, Shokoufeh & Khakzad, Nima & Hosseini, Seyed Mahmoud, 2020. "A data-based comparison of BN-HRA models in assessing human error probability: An offshore evacuation case study," Reliability Engineering and System Safety, Elsevier, vol. 202(C).
    5. Zarei, Esmaeil & Khan, Faisal & Abbassi, Rouzbeh, 2021. "Importance of human reliability in process operation: A critical analysis," Reliability Engineering and System Safety, Elsevier, vol. 211(C).
    6. Laihao Ma & Xiaoxue Ma & Jingwen Zhang & Qing Yang & Kai Wei, 2021. "Identifying the Weaker Function Links in the Hazardous Chemicals Road Transportation System in China," IJERPH, MDPI, vol. 18(13), pages 1-17, July.
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    8. Fakhradin Ghasemi & Mohammad Babamiri & Zahra Pashootan, 2022. "A comprehensive method for the quantification of medication error probability based on fuzzy SLIM," PLOS ONE, Public Library of Science, vol. 17(2), pages 1-17, February.
    9. Małgorzata Jasiulewicz-Kaczmarek & Katarzyna Antosz & Ryszard Wyczółkowski & Dariusz Mazurkiewicz & Bo Sun & Cheng Qian & Yi Ren, 2021. "Application of MICMAC, Fuzzy AHP, and Fuzzy TOPSIS for Evaluation of the Maintenance Factors Affecting Sustainable Manufacturing," Energies, MDPI, vol. 14(5), pages 1-30, March.
    10. Che, Haiyang & Zeng, Shengkui & Guo, Jianbin, 2019. "Reliability assessment of man-machine systems subject to mutually dependent machine degradation and human errors," Reliability Engineering and System Safety, Elsevier, vol. 190(C), pages 1-1.
    11. Abrishami, Shokoufeh & Khakzad, Nima & Hosseini, Seyed Mahmoud & van Gelder, Pieter, 2020. "BN-SLIM: A Bayesian Network methodology for human reliability assessment based on Success Likelihood Index Method (SLIM)," Reliability Engineering and System Safety, Elsevier, vol. 193(C).
    12. Kandemir, Cagatay & Celik, Metin, 2021. "Determining the error producing conditions in marine engineering maintenance and operations through HFACS-MMO," Reliability Engineering and System Safety, Elsevier, vol. 206(C).
    13. Mojgan Aalipour & Yonas Zewdu Ayele & Abbas Barabadi, 2016. "Human reliability assessment (HRA) in maintenance of production process: a case study," International Journal of System Assurance Engineering and Management, Springer;The Society for Reliability, Engineering Quality and Operations Management (SREQOM),India, and Division of Operation and Maintenance, Lulea University of Technology, Sweden, vol. 7(2), pages 229-238, June.
    14. Bhardwaj, U. & Teixeira, A.P. & Guedes Soares, C., 2022. "Bayesian framework for reliability prediction of subsea processing systems accounting for influencing factors uncertainty," Reliability Engineering and System Safety, Elsevier, vol. 218(PA).
    15. Liu, Hu-Chen & Wang, Jing-Hui & Zhang, Ling & Zhang, Qi-Zhen, 2022. "New success likelihood index model for large group human reliability analysis considering noncooperative behaviors and social network," Reliability Engineering and System Safety, Elsevier, vol. 228(C).
    16. Chemweno, Peter & Pintelon, Liliane & Muchiri, Peter Nganga & Van Horenbeek, Adriaan, 2018. "Risk assessment methodologies in maintenance decision making: A review of dependability modelling approaches," Reliability Engineering and System Safety, Elsevier, vol. 173(C), pages 64-77.
    17. Zhou, Jian-Lan & Yu, Ze-Tai & Xiao, Ren-Bin, 2022. "A large-scale group Success Likelihood Index Method to estimate human error probabilities in the railway driving process," Reliability Engineering and System Safety, Elsevier, vol. 228(C).
    18. Jingyi Zhao & Chunhai Gao & Tao Tang, 2022. "A Review of Sustainable Maintenance Strategies for Single Component and Multicomponent Equipment," Sustainability, MDPI, vol. 14(5), pages 1-22, March.
    19. Ogbeide, Henry & Thomson, Mary Elizabeth & Gonul, Mustafa Sinan & Pollock, Andrew Castairs & Bhowmick, Sanjay & Bello, Abdullahi Usman, 2023. "The anti-money laundering risk assessment: A probabilistic approach," Journal of Business Research, Elsevier, vol. 162(C).

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