In this study, an integrated human error simulation model in nuclear power plant (NPP) decommissioning activities (HEISM-DA) that can integrate and manage various factors affecting human errors is developed. In the HEISM-DA, an error probability input method suitable for the characteristics of each performance shaping factors (PSFs) was presented. Because each PSF has different importance on human error, the relative importance of decommissioning PSF Levels 1 and 2 and influential factors is considered. A multiplier was selected for each PSF and then used for human error evaluation. To calculate the human error probability (HEP) for the NPP decommissioning activity, the relationship between each PSF is identified and linked to develop a human error evaluation model. Using the HEISM-DA, HEP for reactor pressure vessel internal cutting work is evaluated based on the experience data. HEP is calculated to be approximately 1%. As a result of HEP calculation, it is found that the “operation” factor has a significant influence on the HEP of NPP decommissioning activities. Therefore, if the dismantling work is conducted by supervising the “operation” factors in a detailed and systematic approach, it is believed that the HEP will be reduced as other factors are also affected.

中文翻译：

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开发核电厂退役活动中的综合人为错误仿真模型

在本研究中，开发了核电厂 (NPP) 退役活动 (HEISM-DA) 中的综合人为错误仿真模型，该模型可以整合和管理影响人为错误的各种因素。在HEISM-DA中，提出了一种适合各性能整形因子(PSF)特性的错误概率输入方法。由于每个 PSF 对人为错误的重要性不同，因此考虑了 PSF 1 级和 2 级退役的相对重要性以及影响因素。为每个 PSF 选择一个乘数，然后用于人为错误评估。为了计算 NPP 退役活动的人为错误概率 (HEP)，确定并链接每个 PSF 之间的关系以开发人为错误评估模型。使用 HEISM-DA，基于经验数据对反应堆压力容器内部切割工作的HEP进行评价。经计算，HEP 约为 1%。HEP计算结果发现，“运行”因素对核电厂退役活动的HEP有显着影响。因此，如果通过详细和系统的方法监督“操作”因素来进行拆除工作，相信 HEP 将会减少，因为其他因素也会受到影响。