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Human Reliability Analysis for Fishing Vessels in Korea Using Cognitive Reliability and Error Analysis Method (CREAM)

Author

Listed:
  • Donghun Lee

    (Department of Mechanical and Industrial Engineering, Norwegian University of Science and Technology, 7034 Trondheim, Norway)

  • Hyungju Kim

    (Department of Mechanical and Industrial Engineering, Norwegian University of Science and Technology, 7034 Trondheim, Norway)

  • Kwiyeon Koo

    (Department of Microsystems, University of South-Eastern Norway, 3184 Borre, Norway)

  • Sooyeon Kwon

    (Department of Fishing Vessel Safety Research, Korea Maritime Transportation Safety Authority, Sejong-si 30100, Republic of Korea)

Abstract

In this paper, we introduce a model designed to predict human error probability (HEP) in the context of fishing boat operations utilizing the cognitive reliability and error analysis method (CREAM). We conducted an analysis of potential accidents on fishing boats and calculated the cognitive failure probability (CFP) for each identified accident. The common performance conditions (CPCs) from the original CREAM were adapted to better reflect the conditions on fishing boats, with the adapted CPCs’ validity confirmed through expert consultations. To apply CREAM, data were gathered via a survey of fishermen, with the uncertainty in the collected data addressed through the application of fuzzy set theory (FST). We then established a Bayesian network (BN) model to elucidate the relationship between the fuzzy data and HEP, utilizing a weighted sum algorithm to determine conditional probabilities within the BN. Both basic and extended versions of CREAM were applied to analyze the most common accidents among fishermen, calculating the CFP for each type of accident. According to our analysis, the poorer the dynamic CPC, the higher the probability that a fall accident will occur inside the boat due to human error, necessitating a countermeasure. The paper proposes safety enhancements for small fishing boats and illustrates the increased precision of human reliability analysis (HRA) models in forecasting human error by incorporating quantitative methods. It calls for further data collection and refinement of the model for more accurate operational risk assessments.

Suggested Citation

  • Donghun Lee & Hyungju Kim & Kwiyeon Koo & Sooyeon Kwon, 2024. "Human Reliability Analysis for Fishing Vessels in Korea Using Cognitive Reliability and Error Analysis Method (CREAM)," Sustainability, MDPI, vol. 16(9), pages 1-26, April.
    • Handle: RePEc:gam:jsusta:v:16:y:2024:i:9:p:3780-:d:1386627
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    References listed on IDEAS

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    1. Zhaobo Chen & Gangzhu Qiao & Jianchao Zeng, 2019. "Study on the Relationship between Worker States and Unsafe Behaviours in Coal Mine Accidents Based on a Bayesian Networks Model," Sustainability, MDPI, vol. 11(18), pages 1-16, September.
    2. Yue Wu & Ronald P. Pelot & Casey Hilliard, 2009. "The Influence of Weather Conditions on the Relative Incident Rate of Fishing Vessels," Risk Analysis, John Wiley & Sons, vol. 29(7), pages 985-999, July.
    3. 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.
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