IDEAS home Printed from https://ideas.repec.org/a/spr/ijsaem/v7y2016i2d10.1007_s13198-016-0453-z.html
   My bibliography  Save this article

Human reliability assessment (HRA) in maintenance of production process: a case study

Author

Listed:
  • Mojgan Aalipour

    (Luleå University of Technology)

  • Yonas Zewdu Ayele

    (UiT The Arctic University of Norway)

  • Abbas Barabadi

    (UiT The Arctic University of Norway)

Abstract

Human reliability makes a considerable contribution to the maintenance performance, safety, and cost-efficiency of any production process. To improve human reliability, the causes of human errors should be identified and the probability of human errors should be quantified. Analysis of human error is very case-specific; the context of the field should be taken into account. The aim of this study is to identify the causes of human errors and improve human reliability in maintenance activities in the cable manufacturing industry. The central thrust of this paper is to employ the three most common HRA techniques—human error assessment and reduction technique, standardized plant analysis risk-human reliability, and Bayesian network—for estimating human error probabilities and then to check the consistency of the results obtained. The case study results demonstrated that the main causes of human error during maintenance activities are time pressure, lack of experience, and poor procedure. Moreover, the probabilities of human error, obtained by employing the three techniques, are similar and consistent.

Suggested Citation

  • 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.
    • Handle: RePEc:spr:ijsaem:v:7:y:2016:i:2:d:10.1007_s13198-016-0453-z
    DOI: 10.1007/s13198-016-0453-z
    as

    Download full text from publisher

    File URL: http://link.springer.com/10.1007/s13198-016-0453-z
    File Function: Abstract
    Download Restriction: Access to the full text of the articles in this series is restricted.
    File URL: https://libkey.io/10.1007/s13198-016-0453-z?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Lee, Chang-Ju & Lee, Kun Jai, 2006. "Application of Bayesian network to the probabilistic risk assessment of nuclear waste disposal," Reliability Engineering and System Safety, Elsevier, vol. 91(5), pages 515-532.
    2. Trucco, P. & Cagno, E. & Ruggeri, F. & Grande, O., 2008. "A Bayesian Belief Network modelling of organisational factors in risk analysis: A case study in maritime transportation," Reliability Engineering and System Safety, Elsevier, vol. 93(6), pages 845-856.
    3. Kim, Man Cheol & Seong, Poong Hyun & Hollnagel, Erik, 2006. "A probabilistic approach for determining the control mode in CREAM," Reliability Engineering and System Safety, Elsevier, vol. 91(2), pages 191-199.
    4. Marquez, David & Neil, Martin & Fenton, Norman, 2010. "Improved reliability modeling using Bayesian networks and dynamic discretization," Reliability Engineering and System Safety, Elsevier, vol. 95(4), pages 412-425.
    5. Konstandinidou, Myrto & Nivolianitou, Zoe & Kiranoudis, Chris & Markatos, Nikolaos, 2006. "A fuzzy modeling application of CREAM methodology for human reliability analysis," Reliability Engineering and System Safety, Elsevier, vol. 91(6), pages 706-716.
    6. Groth, Katrina M. & Swiler, Laura P., 2013. "Bridging the gap between HRA research and HRA practice: A Bayesian network version of SPAR-H," Reliability Engineering and System Safety, Elsevier, vol. 115(C), pages 33-42.
    7. 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.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. A. Azadeh & M. Khakestani & S. Motevali Haghighi & A. Arjmand & Z. Jiryaei Sharahi, 2017. "A unique intelligent algorithm for optimization of human reliability and decision styles: a large petrochemical plant," 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. 8(2), pages 1161-1176, November.
    2. 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).
    3. Zhou, Jian-Lan & Lei, Yi & Chen, Yang, 2019. "A hybrid HEART method to estimate human error probabilities in locomotive driving process," Reliability Engineering and System Safety, Elsevier, vol. 188(C), pages 80-89.
    4. Ajith Tom James & O. P. Gandhi & S. G. Deshmukh, 2017. "Assessment of failures in automobiles due to maintenance errors," 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. 8(4), pages 719-739, December.
    5. Mostafa Aliyari & Yonas Z Ayele & Abbas Barabadi & Enrique Lopez Droguett, 2019. "Risk analysis in low-voltage distribution systems," Journal of Risk and Reliability, , vol. 233(2), pages 118-138, April.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. 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).
    2. Wu, Bing & Yip, Tsz Leung & Yan, Xinping & Guedes Soares, C., 2022. "Review of techniques and challenges of human and organizational factors analysis in maritime transportation," Reliability Engineering and System Safety, Elsevier, vol. 219(C).
    3. 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).
    4. Mkrtchyan, L. & Podofillini, L. & Dang, V.N., 2015. "Bayesian belief networks for human reliability analysis: A review of applications and gaps," Reliability Engineering and System Safety, Elsevier, vol. 139(C), pages 1-16.
    5. Marzio Marseguerra & Enrico Zio & Massimo Librizzi, 2007. "Human Reliability Analysis by Fuzzy “CREAM”," Risk Analysis, John Wiley & Sons, vol. 27(1), pages 137-154, February.
    6. Di Pasquale, Valentina & Miranda, Salvatore & Iannone, Raffaele & Riemma, Stefano, 2015. "A Simulator for Human Error Probability Analysis (SHERPA)," Reliability Engineering and System Safety, Elsevier, vol. 139(C), pages 17-32.
    7. Bing Wu & Xinping Yan & Yang Wang & C. Guedes Soares, 2017. "An Evidential Reasoning‐Based CREAM to Human Reliability Analysis in Maritime Accident Process," Risk Analysis, John Wiley & Sons, vol. 37(10), pages 1936-1957, October.
    8. Patriarca, Riccardo & Ramos, Marilia & Paltrinieri, Nicola & Massaiu, Salvatore & Costantino, Francesco & Di Gravio, Giulio & Boring, Ronald Laurids, 2020. "Human reliability analysis: Exploring the intellectual structure of a research field," Reliability Engineering and System Safety, Elsevier, vol. 203(C).
    9. Christoph Alexander Thieme & Ingrid Bouwer Utne, 2017. "A risk model for autonomous marine systems and operation focusing on human–autonomy collaboration," Journal of Risk and Reliability, , vol. 231(4), pages 446-464, August.
    10. 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).
    11. Su, Xiaoyan & Mahadevan, Sankaran & Xu, Peida & Deng, Yong, 2014. "Inclusion of task dependence in human reliability analysis," Reliability Engineering and System Safety, Elsevier, vol. 128(C), pages 41-55.
    12. 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.
    13. Groth, Katrina M. & Smith, Curtis L. & Swiler, Laura P., 2014. "A Bayesian method for using simulator data to enhance human error probabilities assigned by existing HRA methods," Reliability Engineering and System Safety, Elsevier, vol. 128(C), pages 32-40.
    14. Medina-Oliva, G. & Weber, P. & Iung, B., 2013. "PRM-based patterns for knowledge formalisation of industrial systems to support maintenance strategies assessment," Reliability Engineering and System Safety, Elsevier, vol. 116(C), pages 38-56.
    15. Zhang, Haoyuan & Marsh, D. William R, 2021. "Managing infrastructure asset: Bayesian networks for inspection and maintenance decisions reasoning and planning," Reliability Engineering and System Safety, Elsevier, vol. 207(C).
    16. Bevilacqua, Maurizio & Ciarapica, Filippo Emanuele, 2018. "Human factor risk management in the process industry: A case study," Reliability Engineering and System Safety, Elsevier, vol. 169(C), pages 149-159.
    17. Ekanem, Nsimah & Mosleh, Ali & Shen, Song-Hua & Ramos, Marilia, 2024. "Phoenix–A model-based human reliability analysis methodology: Data sources and quantitative analysis procedure," Reliability Engineering and System Safety, Elsevier, vol. 248(C).
    18. 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.
    19. 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).
    20. Yang, Zhisen & Yang, Zaili & Yin, Jingbo, 2018. "Realising advanced risk-based port state control inspection using data-driven Bayesian networks," Transportation Research Part A: Policy and Practice, Elsevier, vol. 110(C), pages 38-56.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:spr:ijsaem:v:7:y:2016:i:2:d:10.1007_s13198-016-0453-z. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.