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Process hazard analysis, hazard identification and scenario definition: are the conventional tools sufficient, or should and can we do much better?

机译:过程危害分析,危害识别和方案定义:常规工具是否足够,或者我们应该并且可以做得更好?

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摘要

Hazard identification is the first and most crucial step in any risk assessment. Since the late 1960s it has been done in a systematic manner using hazard and operability studies (HAZOP) and failure mode and effect analysis (FMEA). In the area of process safety these methods have been successful in that they have gained global recognition. There still remain numerous and significant challenges when using these methodologies. These relate to the quality of human imagination in eliciting failure events and subsequent causal pathways, the breadth and depth of outcomes, application across operational modes, the repetitive nature of the methods and the substantial effort expended in performing this important step within risk management practice. The present article summarizes the attempts and actual successes that have been made over the last 30 years to deal with many of these challenges. It analyzes what should be done in the case of a full systems approach and describes promising developments in that direction. It shows two examples of how applying experience and historical data with Bayesian network, HAZOP and FMEA can help in addressing issues in operational risk management.
机译:危害识别是任何风险评估中的第一步,也是最关键的一步。自1960年代后期以来,已经通过使用危害性和可操作性研究(HAZOP)以及失效模式和影响分析(FMEA)的系统方式进行了此操作。在过程安全领域,这些方法已经获得全球认可,因此获得了成功。使用这些方法时,仍然存在许多重大挑战。这些与人类在引发故障事件和随后的因果关系,结果的广度和深度,跨操作模式的应用,方法的重复性质以及在风险管理实践中执行此重要步骤所花费的大量精力方面的想象力有关。本文总结了过去30年中为应对许多挑战而进行的尝试和实际成功。它分析了在采用完整系统方法的情况下应采取的措施,并描述了朝着这个方向发展的前景。它显示了两个示例,说明如何在贝叶斯网络,HAZOP和FMEA中应用经验和历史数据可以帮助解决操作风险管理中的问题。

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