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Modelling worker reliability with learning and fatigue

机译:通过学习和疲劳为工人可靠性建模

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摘要

A mathematical model is developed that estimates the human error rate while performing an assembly job under the influence of learning-forgetting and fatigue-recovery. Despite other Human Reliability Analysis (HRA) models that are not capable of anticipating how and when an error occurs, this model is able to dynamically measure the human error rate and reliability with time. An experimental analysis is performed to examine the effect of the model parameters on the error rate and the model behaviour is investigated through five research questions. Numerical examples are provided to illustrate the results.
机译:开发了一个数学模型,该模型在忘记学习和疲劳恢复的影响下执行装配工作时估计人为错误率。尽管其他人类可靠性分析(HRA)模型无法预测错误的发生方式和时间,但该模型仍能够随着时间动态地测量人类错误率和可靠性。通过实验分析来检验模型参数对错误率的影响,并通过五个研究问题来研究模型行为。提供了数值示例来说明结果。

著录项

  • 来源
    《Applied Mathematical Modelling》 |2015年第17期|5186-5199|共14页
  • 作者单位

    Department of Mechanical and Industrial Engineering, Ryerson University, Toronto, ON M5B 2K3, Canada;

    Department of Mechanical and Industrial Engineering, Ryerson University, Toronto, ON M5B 2K3, Canada;

    Department of Mechanical and Industrial Engineering, Ryerson University, Toronto, ON M5B 2K3, Canada;

  • 收录信息 美国《科学引文索引》(SCI);美国《工程索引》(EI);
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

    Learning-forgetting; Fatigue-recovery; Human error; Human Reliability Analysis;

    机译:忘记学习;疲劳恢复;人为错误;人的可靠性分析;

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