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The use of a social network analysis technique to investigate the characteristics of crew communications in nuclear power plants—A feasibility study

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  • Park, Jinkyun

Abstract

Effective and reliable communications are very important in securing the safety of human-involved large process control systems because human operators have to accomplish their tasks in cooperative ways. This means that it is very important to understand the characteristics of crew communications, which can provide useful insights for preventing inappropriate communications. Unfortunately, in the nuclear industry, a systematic framework that can be used to identify the characteristics of crew communications seems to be rare. For this reason, the applicability of the social network analysis (SNA) technique to identifying the characteristics of crew communications was investigated in this study. To this end, the communication data of operating crews working in the main control room (MCR) of nuclear power plants (NPPs) were collected under two kinds of simulated off-normal conditions. Then the communication characteristics of MCR operating crews, which can be represented by the associated SNA metrics, were compared with communication characteristics that are already known from existing studies. As a result, it was found that SNA metrics could be meaningful for explaining the communication characteristics of MCR operating crews. Accordingly, it is expected that the SNA technique can be used as one of the serviceable tools to investigate the characteristics of crew communications in NPPs.

Suggested Citation

  • Park, Jinkyun, 2011. "The use of a social network analysis technique to investigate the characteristics of crew communications in nuclear power plants—A feasibility study," Reliability Engineering and System Safety, Elsevier, vol. 96(10), pages 1275-1291.
    • Handle: RePEc:eee:reensy:v:96:y:2011:i:10:p:1275-1291
    DOI: 10.1016/j.ress.2011.05.003
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    References listed on IDEAS

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    1. Jinkyun Park, 2009. "The Complexity of Proceduralized Tasks," Springer Series in Reliability Engineering, Springer, number 978-1-84882-791-2, June.
    2. Kirwan, Barry & Gibson, W. Huw & Hickling, Brian, 2008. "Human error data collection as a precursor to the development of a human reliability assessment capability in air traffic management," Reliability Engineering and System Safety, Elsevier, vol. 93(2), pages 217-233.
    3. Manju K. Ahuja & Kathleen M. Carley, 1999. "Network Structure in Virtual Organizations," Organization Science, INFORMS, vol. 10(6), pages 741-757, December.
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    1. Schneider, Kellie & Rainwater, Chase & Pohl, Ed & Hernandez, Ivan & Ramirez-Marquez, Jose Emmanuel, 2013. "Social network analysis via multi-state reliability and conditional influence models," Reliability Engineering and System Safety, Elsevier, vol. 109(C), pages 99-109.
    2. Park, Jinkyun & Jung, Wondea & Yang, Joon-Eon, 2012. "Investigating the effect of communication characteristics on crew performance under the simulated emergency condition of nuclear power plants," Reliability Engineering and System Safety, Elsevier, vol. 101(C), pages 1-13.
    3. Park, Jinkyun & Kim, Yochan, 2018. "A novel speech-act coding scheme to visualize the intention of crew communications to cope with simulated off-normal conditions of nuclear power plants," Reliability Engineering and System Safety, Elsevier, vol. 178(C), pages 236-246.
    4. AlFarra, Hasan Jamil & Abu-Hijleh, Bassam, 2012. "The potential role of nuclear energy in mitigating CO2 emissions in the United Arab Emirates," Energy Policy, Elsevier, vol. 42(C), pages 272-285.

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