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Risk analysis in research environment - Part I: Modeling Lab Criticity Index using Improved Risk Priority Number

机译:研究环境中的风险分析-第一部分:使用改进的风险优先级数字对实验室关键指标建模

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Current available risk analysis techniques are well adapted to industry needs since they were developed for its purpose. All hazards present in industry are also met in research/academia, although quantities of some hazardous substances are smaller. Still, because of its characteristics e.g., high turnover of collaborators, rapid reorientation of research programs, freedom of research, equipment often in development stage, difficulty to obtain accidents statistics, not well described processes, etc., research/academia milieu is an environment whose risks are difficult to assess by available risk analysis techniques. In the present paper, a new methodology, Laboratory Assessment and Risk Analysis - LARA, for research and/or complex environment is proposed. When multiple hazards are analyzed, the result of assessment is a risk ranking calculated using a Lab Criticity Index - LCI, providing identification of critical areas and prioritization of safety actions. LCI is conceived through two approaches: the Risk Priority Number - RPN and the Analytic Hierarchy Process - AHP. It is suggested to estimate risk as a combination of severity, probability, detect-ability, worsening factors and research specificities.
机译:自从其目的开发以来,当前可用的风险分析技术已很好地适应了行业需求。尽管某些有害物质的数量较少,但研究/学术界也遇到了工业中存在的所有危害。尽管如此,由于它的特征,例如,合作者的高流动性,研究程序的快速重新定向,研究的自由,处于开发阶段的设备经常,难以获得事故统计信息,过程描述不完善等,研究/学术环境仍然是一个环境。其风险难以通过可用的风险分析技术进行评估。在本文中,提出了一种用于研究和/或复杂环境的新方法,即实验室评估和风险分析-LARA。当分析多种危害时,评估的结果是使用实验室关键度指数-LCI计算得出的风险等级,从而确定关键区域并确定安全措施的优先级。 LCI是通过两种方法构想的:风险优先级数字-RPN和分析层次结构过程-AHP。建议将风险的严重程度,概率,可检测性,恶化因素和研究特异性结合起来进行估计。

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