Human Reliability Analysis in carrier-based aircraft recovery procedure based on CREAM

Lin, Yuh-Lang; Pan, Xing; He, Congjiao

doi:10.1109/icrse.2015.7366420

Cited by 4 publications

(2 citation statements)

References 6 publications

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“…For instance, Groth performed an HRA study using nuclear accidents data . Because of confidentiality reasons, Lin et al . analyzed the human reliability of carrier‐based aircraft recovery procedures with reference to the prediction of human error probability in aviation maintenance.…”

Section: Discussion and Future Researchmentioning

confidence: 99%

A Review of Cognitive Models in Human Reliability Analysis

Pan

Lin

2016

Quality & Reliability Eng

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Human error behavior is determined by both environmental and human factors. In particular, psychological and spiritual factors have a decisive impact on human errors. The human cognitive model not only makes a sound exposition of the generation process and mechanism of human erroneous actions but also improves the accuracy and credibility of human reliability analysis (HRA). Therefore, it helps effectively avoid and prevent human errors in industrial fields. This paper highlights the significant role that the cognitive model has played in HRA. Then, based on an analysis of the nature of human behavior and the classifications of common human errors, several typical cognitive models are summarized in the areas of ergonomics, behavioral science, and cognitive engineering, including a cognitive model related to process, an information-processing model, a decision-making and problem-solving process model, and a cognitive simulation model based on computer technology. Then, cognitive models and the corresponding HRA methods that are applied in the fields of reliability engineering, safety engineering, and risk assessment are reviewed. Finally, some directions and challenges are proposed for the future research of cognitive models applied in HRA methods based on the discussion of current cognitive models used in HRA methods.

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Section: Discussion and Future Researchmentioning

confidence: 99%

A Review of Cognitive Models in Human Reliability Analysis

Pan

Lin

2016

Quality & Reliability Eng

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“…The second-generation HRA methods are used in various industries by considering human information processing systems and situational factors, and representative methods include a technique for human event analysis (ATHEANA) [15] and the cognitive reliability and error analysis method (CREAM) [16]. Unlike ATHEANA, which specializes in the field of nuclear power plants, CREAM is widely used to evaluate human error in various industries such as petrochemicals (Mazlomi et al [17]), power plants (Tang et al [18], Lin et al [19]), marine (Ung [20], Chen et al [21]), and aviation (Lam et al [22], Lin et al [23]), etc.…”

Section: Introductionmentioning

confidence: 99%

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

Lee,

Kim,

Koo

et al. 2024

Sustainability

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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.

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