IDEAS home Printed from https://ideas.repec.org/a/eee/reensy/v159y2017icp174-183.html
   My bibliography  Save this article

The use of the SACADA taxonomy to analyze simulation records: Insights and suggestions

Author

Listed:
  • Park, J.
  • Chang, Y.J.
  • Kim, Y.
  • Choi, S.
  • Kim, S.
  • Jung, W.

Abstract

It is evident that diverse human reliability analysis (HRA) methods are effective for enhancing the safety of socio-technical systems through identifying the most vulnerable tasks to human errors with the associated human error probabilities. This means that reliable human performance data is an important factor affecting HRA quality. Therefore, many researchers have developed technical underpinnings (such as guidelines and taxonomies) that specify what and how HRA data can be collected from simulator experiments. Here, SACADA (Scenario Authoring, Characterization, and Debriefing Application) taxonomy recently developed by US NRC (Nuclear Regulatory Commission) is worth emphasizing, because it is constructed on the basis of a cognitive model (i.e., a top-down approach) while most of the technical underpinnings are developed by a bottom-up approach (i.e., the intensive review of existing literature). For this reason, in this study, the SACADA taxonomy is used to analyze several audio-visual records collected from the full scope simulators of nuclear power plants in the Republic of Korea. The results indicate that the SACADA taxonomy is useful to collect operator performance data in simulator training for HRA. Certain human performance information that can be provided by SACADA data provided are difficult to be covered by the bottom-up approach.

Suggested Citation

  • Park, J. & Chang, Y.J. & Kim, Y. & Choi, S. & Kim, S. & Jung, W., 2017. "The use of the SACADA taxonomy to analyze simulation records: Insights and suggestions," Reliability Engineering and System Safety, Elsevier, vol. 159(C), pages 174-183.
    • Handle: RePEc:eee:reensy:v:159:y:2017:i:c:p:174-183
    DOI: 10.1016/j.ress.2016.11.002
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0951832016307451
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.ress.2016.11.002?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.

    References listed on IDEAS

    as
    1. James Chang, Y. & Bley, Dennis & Criscione, Lawrence & Kirwan, Barry & Mosleh, Ali & Madary, Todd & Nowell, Rodney & Richards, Robert & Roth, Emilie M. & Sieben, Scott & Zoulis, Antonios, 2014. "The SACADA database for human reliability and human performance," Reliability Engineering and System Safety, Elsevier, vol. 125(C), pages 117-133.
    2. Park, Jinkyun & Jung, Wondea, 2007. "OPERA—a human performance database under simulated emergencies of nuclear power plants," Reliability Engineering and System Safety, Elsevier, vol. 92(4), pages 503-519.
    3. Kim, Yochan & Park, Jinkyun & Jung, Wondea & Jang, Inseok & Hyun Seong, Poong, 2015. "A statistical approach to estimating effects of performance shaping factors on human error probabilities of soft controls," Reliability Engineering and System Safety, Elsevier, vol. 142(C), pages 378-387.
    4. 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.
    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. 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).
    2. Hu, Lunhu & Pan, Xing & Ding, Song & Zuo, Dujun & Kang, Rui, 2022. "A quantitative input for evaluating human error of visual Neglection: Prediction of Operator's detection time spent on perceiving critical visual signal," Reliability Engineering and System Safety, Elsevier, vol. 225(C).
    3. Ham, Dong-Han & Park, Jinkyun, 2020. "Use of a big data analysis technique for extracting HRA data from event investigation reports based on the Safety-II concept," Reliability Engineering and System Safety, Elsevier, vol. 194(C).
    4. Garg, Vipul & Vinod, Gopika & Prasad, Mahendra & Chattopadhyay, J. & Smith, Curtis & Kant, Vivek, 2023. "Human reliability analysis studies from simulator experiments using Bayesian inference," Reliability Engineering and System Safety, Elsevier, vol. 229(C).

    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. 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).
    2. Jung, Wondea & Park, Jinkyun & Kim, Yochan & Choi, Sun Yeong & Kim, Seunghwan, 2020. "HuREX – A framework of HRA data collection from simulators in nuclear power plants," Reliability Engineering and System Safety, Elsevier, vol. 194(C).
    3. 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).
    4. Park, Jooyoung & Boring, Ronald L. & Ulrich, Thomas A. & Lew, Roger & Lee, Sungheon & Park, Bumjun & Kim, Jonghyun, 2022. "A framework to collect human reliability analysis data for nuclear power plants using a simplified simulator and student operators," Reliability Engineering and System Safety, Elsevier, vol. 221(C).
    5. Kim, Yochan & Park, Jinkyun & Jung, Wondea & Choi, Sun Yeong & Kim, Seunghwan, 2018. "Estimating the quantitative relation between PSFs and HEPs from full-scope simulator data," Reliability Engineering and System Safety, Elsevier, vol. 173(C), pages 12-22.
    6. Garg, Vipul & Vinod, Gopika & Kant, Vivek, 2023. "Auto-CREAM: Software application for evaluation of HEP with basic and extended CREAM for PSA studies," Reliability Engineering and System Safety, Elsevier, vol. 236(C).
    7. Preischl, Wolfgang & Hellmich, Mario, 2016. "Human error probabilities from operational experience of German nuclear power plants, Part II," Reliability Engineering and System Safety, Elsevier, vol. 148(C), pages 44-56.
    8. Groth, Katrina M. & Smith, Reuel & Moradi, Ramin, 2019. "A hybrid algorithm for developing third generation HRA methods using simulator data, causal models, and cognitive science," Reliability Engineering and System Safety, Elsevier, vol. 191(C).
    9. Kim, Yochan & Park, Jinkyun & Jung, Wondea, 2017. "A classification scheme of erroneous behaviors for human error probability estimations based on simulator data," Reliability Engineering and System Safety, Elsevier, vol. 163(C), pages 1-13.
    10. Liao, Huafei & Groth, Katrina & Stevens-Adams, Susan, 2015. "Challenges in leveraging existing human performance data for quantifying the IDHEAS HRA method," Reliability Engineering and System Safety, Elsevier, vol. 144(C), pages 159-169.
    11. Shirley, Rachel Benish & Smidts, Carol & Zhao, Yunfei, 2020. "Development of a quantitative Bayesian network mapping objective factors to subjective performance shaping factor evaluations: An example using student operators in a digital nuclear power plant simul," Reliability Engineering and System Safety, Elsevier, vol. 194(C).
    12. Kim, Yochan & Park, Jinkyun & Jung, Wondea & Jang, Inseok & Hyun Seong, Poong, 2015. "A statistical approach to estimating effects of performance shaping factors on human error probabilities of soft controls," Reliability Engineering and System Safety, Elsevier, vol. 142(C), pages 378-387.
    13. Kim, Yochan & Park, Jinkyun, 2019. "Incorporating prior knowledge with simulation data to estimate PSF multipliers using Bayesian logistic regression," Reliability Engineering and System Safety, Elsevier, vol. 189(C), pages 210-217.
    14. Liu, Peng & Lyu, Xi & Qiu, Yongping & He, Jiandong & Tong, Jiejuan & Zhao, Jun & Li, Zhizhong, 2017. "Identifying key performance shaping factors in digital main control rooms of nuclear power plants: A risk-based approach," Reliability Engineering and System Safety, Elsevier, vol. 167(C), pages 264-275.
    15. Liu, Peng & Qiu, Yongping & Hu, Juntao & Tong, Jiejuan & Zhao, Jun & Li, Zhizhong, 2020. "Expert judgments for performance shaping Factors’ multiplier design in human reliability analysis," Reliability Engineering and System Safety, Elsevier, vol. 194(C).
    16. Zwirglmaier, Kilian & Straub, Daniel & Groth, Katrina M., 2017. "Capturing cognitive causal paths in human reliability analysis with Bayesian network models," Reliability Engineering and System Safety, Elsevier, vol. 158(C), pages 117-129.
    17. Kim, Yochan & Park, Jinkyun & Presley, Mary, 2021. "Selecting significant contextual factors and estimating their effects on operator reliability in computer-based control rooms," Reliability Engineering and System Safety, Elsevier, vol. 213(C).
    18. Morais, Caroline & Estrada-Lugo, Hector Diego & Tolo, Silvia & Jacques, Tiago & Moura, Raphael & Beer, Michael & Patelli, Edoardo, 2022. "Robust data-driven human reliability analysis using credal networks," Reliability Engineering and System Safety, Elsevier, vol. 218(PA).
    19. Kim, Yochan & Park, Jinkyun & Jung, Wondea, 2017. "A quantitative measure of fitness for duty and work processes for human reliability analysis," Reliability Engineering and System Safety, Elsevier, vol. 167(C), pages 595-601.
    20. 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).

    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:159:y:2017:i:c:p:174-183. 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: 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.