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The use of a process mining technique to characterize the work process of main control room crews: A feasibility study

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  • Park, Jinkyun
  • Jung, Jae-Yoon
  • Jung, Wondea

Abstract

In terms of supporting HRA (Human Reliability Analysis) practitioners, one of the urgent issues is to establish a set of objective criteria for determining the proper level of PSFs (Performance Shaping Factors), which are crucial for estimating the likelihood of HEPs (Human Error Probabilities). From this concern, the feasibility study of process mining techniques to characterize the work process of MCR (Main Control Room) crews is presented in this study. Three kinds of information requirements that are essential for determining the quality of the work process are first identified, and the application of process mining techniques is then introduced to address those requirements. As a case study, we illustrate the process mining techniques with communication logs that were collected from MCR crews exposed to simulated off-normal conditions. As a result, three kinds of insightful information (i.e., a work flow, time and spatial information along with a given work flow, and the flow of keywords describing what kinds of symptoms and/or knowledge were considered by MCR crews) are soundly extracted from communication logs. Consequently, it is expected that process mining techniques are effective for identifying a set of necessary information that would helpful for assessing the quality of the work process in an objective manner.

Suggested Citation

  • Park, Jinkyun & Jung, Jae-Yoon & Jung, Wondea, 2016. "The use of a process mining technique to characterize the work process of main control room crews: A feasibility study," Reliability Engineering and System Safety, Elsevier, vol. 154(C), pages 31-41.
    • Handle: RePEc:eee:reensy:v:154:y:2016:i:c:p:31-41
    DOI: 10.1016/j.ress.2016.05.004
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    References listed on IDEAS

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    1. Kim, Dohyun & Yang, Hanmo, 2012. "Evaluation of the risk frequency for hazards of runway incursion in Korea," Journal of Air Transport Management, Elsevier, vol. 23(C), pages 31-35.
    2. 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.
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    Cited by:

    1. 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).
    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. Porthin, Markus & Liinasuo, Marja & Kling, Terhi, 2020. "Effects of digitalization of nuclear power plant control rooms on human reliability analysis – A review," Reliability Engineering and System Safety, Elsevier, vol. 194(C).
    4. Wang, Wei & Di Maio, Francesco & Zio, Enrico, 2020. "Considering the human operator cognitive process for the interpretation of diagnostic outcomes related to component failures and cyber security attacks," Reliability Engineering and System Safety, Elsevier, vol. 202(C).

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