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  • 标题:A Hybrid Model to Evaluate Human Error Probability (HEP) in a Pharmaceutical Plant
  • 本地全文:下载
  • 作者:Gianpaolo Di Bona ; Domenico Falcone ; Antonio Forcina
  • 期刊名称:IFAC PapersOnLine
  • 印刷版ISSN:2405-8963
  • 出版年度:2021
  • 卷号:54
  • 期号:1
  • 页码:444-449
  • DOI:10.1016/j.ifacol.2021.08.051
  • 语种:English
  • 出版社:Elsevier
  • 摘要:AbstractThe aim of the present research is to propose a hybrid model to evaluate Human Error Probability (HEP) called Logit Human Reliability (LHR). The new approach is based on logit normal distribution, Nuclear Action Reliability Assessment (NARA), and Performance Shaping Factors (PSFs) relationship. The present paper analyzed some shortcomings related to literature approaches, especially the limitations of the working time. We estimated PSFs after 8 hours (work standard) during emergency conditions. Therefore, the correlation between the advantages of these three methodologies allows proposing a HEP analysis during accident scenario and emergencies. The proposed approach considers internal and external factors that affect the operator’s ability. LHR has been applied in a pharmaceutical accident scenario, considering 24 hours of working time (more than 8 working hours).
  • 关键词:KeywordsHuman FactorsEnvironmental FactorsHRAHEPPSFsPharmaceutical PlantLogit Normal Distribution
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