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A method for assessing Human Error Probability through physiological and psychological factors tests based on CREAM and its applications

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  • He, Ye
  • Kuai, Nian-Sheng
  • Deng, Li-Min
  • He, Xiong-Yuan

Abstract

Current Human Reliability Analysis (HRA) methods have focused on the impact of environmental conditions or Performance Shaping Factors (PSFs) on human errors, while current research has ignored two aspects: one the influence of Human Inherent Factors (HIFs) associated with accidents, the other the Human Error Probability (HEP) calculations, whose results were not based on HIFs tests. The purpose of this study was to examine HEP based on HIFs’ assessments that contained physiological and psychological factor tests, including Cognitive Reliability and Error Analysis Method (CREAM) was chosen as a framework. Additionally, the evaluation of Common Performance Commons (CPCs) was optimized so that assessment of CPCs in objective circumstances could be achieved. This method was applied within a pharmaceutical company to demonstrate its applicability and reliability in order for it to be more widely applied in HEP calculations in other various industries to appraise tasks in relation to status management, and staff personnel management.

Suggested Citation

  • He, Ye & Kuai, Nian-Sheng & Deng, Li-Min & He, Xiong-Yuan, 2021. "A method for assessing Human Error Probability through physiological and psychological factors tests based on CREAM and its applications," Reliability Engineering and System Safety, Elsevier, vol. 215(C).
    • Handle: RePEc:eee:reensy:v:215:y:2021:i:c:s0951832021004038
    DOI: 10.1016/j.ress.2021.107884
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    Cited by:

    1. Yang Liu & Xiaoxue Ma & Weiliang Qiao & Huiwen Luo & Peilong He, 2021. "Human Factor Risk Modeling for Shipyard Operation by Mapping Fuzzy Fault Tree into Bayesian Network," IJERPH, MDPI, vol. 19(1), pages 1-31, December.
    2. Garg, Vipul & Vinod, Gopika & Kant, Vivek, 2023. "Auto-CREAM: Software application for evaluation of HEP with basic and extended CREAM for PSA studies," Reliability Engineering and System Safety, Elsevier, vol. 236(C).
    3. Asadayoobi, N. & Taghipour, S. & Jaber, M.Y., 2022. "Predicting human reliability based on probabilistic mission completion time using Bayesian Network," Reliability Engineering and System Safety, Elsevier, vol. 221(C).
    4. Hu, Lunhu & Pan, Xing & Ding, Song & Zuo, Dujun & Kang, Rui, 2022. "A quantitative input for evaluating human error of visual Neglection: Prediction of Operator's detection time spent on perceiving critical visual signal," Reliability Engineering and System Safety, Elsevier, vol. 225(C).

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