Abstract
Human errors in power plants can have a significant impact on sustainability. Sustainability in the context of power plants involves ensuring the long-term viability of energy generation while simultaneously minimizing adverse environmental, social, and economic impacts. Human errors in the control and operation of power plants can result in energy losses, reducing the overall efficiency of the plant. This research aims to enhance organizational decision-making by identifying and evaluating key factors affecting human error probability (HEP) and their relationships in power plants. The study uses the cross-impact matrix multiplication applied to classification (MICMAC) method to identify key factors, dependencies, and interconnections influencing HEP. By recognizing and understanding these dependencies, managers can make informed decisions and implement appropriate adjustments to organizational conditions and personnel. Based on case study results, six sub-factors are identified as having the highest level of influence on HEP: the operating procedures, skills and experiences of personnel, ergonomics, the interruption of tasks, repetitiveness and simplicity of the task, and education and training plan. The insights gained from the research can be used to enhance understanding and implement effective strategies to mitigate the impact of human error, leading to improvements in sustainability within power plants.
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Data Availability
The data that support the findings of this study are available on request from the corresponding author, V.B.E. The data are not publicly available due to restrictions; e.g., they are containing information that could compromise the privacy of research participants.
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Bafandegan Emroozi, V., Modares, A. Identifying Critical Factors Affecting Human Error Probability in Power Plant Operations and Their Sustainability Implications. Process Integr Optim Sustain (2024). https://doi.org/10.1007/s41660-024-00392-9
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DOI: https://doi.org/10.1007/s41660-024-00392-9