IDEAS home Printed from https://ideas.repec.org/a/eee/reensy/v95y2010i6p591-605.html
   My bibliography  Save this article

Issues in benchmarking human reliability analysis methods: A literature review

Author

Listed:
  • Boring, Ronald L.
  • Hendrickson, Stacey M.L.
  • Forester, John A.
  • Tran, Tuan Q.
  • Lois, Erasmia

Abstract

There is a diversity of human reliability analysis (HRA) methods available for use in assessing human performance within probabilistic risk assessments (PRA). Due to the significant differences in the methods, including the scope, approach, and underlying models, there is a need for an empirical comparison investigating the validity and reliability of the methods. To accomplish this empirical comparison, a benchmarking study comparing and evaluating HRA methods in assessing operator performance in simulator experiments is currently underway. In order to account for as many effects as possible in the construction of this benchmarking study, a literature review was conducted, reviewing past benchmarking studies in the areas of psychology and risk assessment. A number of lessons learned through these studies is presented in order to aid in the design of future HRA benchmarking endeavors.

Suggested Citation

  • Boring, Ronald L. & Hendrickson, Stacey M.L. & Forester, John A. & Tran, Tuan Q. & Lois, Erasmia, 2010. "Issues in benchmarking human reliability analysis methods: A literature review," Reliability Engineering and System Safety, Elsevier, vol. 95(6), pages 591-605.
    • Handle: RePEc:eee:reensy:v:95:y:2010:i:6:p:591-605
    DOI: 10.1016/j.ress.2010.02.002
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0951832010000372
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.ress.2010.02.002?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.

    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. 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).
    3. Selvik, Jon T. & Bellamy, Linda J., 2020. "Addressing human error when collecting failure cause information in the oil and gas industry: A review of ISO 14224:2016," Reliability Engineering and System Safety, Elsevier, vol. 194(C).
    4. Maturana, Marcos Coelho & Martins, Marcelo Ramos & Frutuoso e Melo, Paulo Fernando Ferreira, 2021. "Application of a quantitative human performance model to the operational procedure design of a fuel storage pool cooling system," Reliability Engineering and System Safety, Elsevier, vol. 216(C).
    5. Zhang, Xiaoge & Mahadevan, Sankaran & Lau, Nathan & Weinger, Matthew B., 2020. "Multi-source information fusion to assess control room operator performance," Reliability Engineering and System Safety, Elsevier, vol. 194(C).
    6. 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).
    7. Zhao, Yunfei, 2022. "A Bayesian approach to comparing human reliability analysis methods using human performance data," Reliability Engineering and System Safety, Elsevier, vol. 219(C).
    8. Burns, Kevin & Bonaceto, Craig, 2020. "An empirically benchmarked human reliability analysis of general aviation," Reliability Engineering and System Safety, Elsevier, vol. 194(C).
    9. Sun, Zhiqiang & Li, Zhengyi & Gong, Erling & Xie, Hongwei, 2012. "Estimating Human Error Probability using a modified CREAM," Reliability Engineering and System Safety, Elsevier, vol. 100(C), pages 28-32.
    10. Zhao, Yunfei & Smidts, Carol, 2019. "A method for systematically developing the knowledge base of reactor operators in nuclear power plants to support cognitive modeling of operator performance," Reliability Engineering and System Safety, Elsevier, vol. 186(C), pages 64-77.

    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:eee:reensy:v:95:y:2010:i:6:p:591-605. 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.

    We have no bibliographic references for this item. You can help adding them by using 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: Catherine Liu (email available below). General contact details of provider: https://www.journals.elsevier.com/reliability-engineering-and-system-safety .

    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.