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首页> 外文会议>18th Annual International Symposium of the International Council on Systems Engineering(INCOSE 2008) >It's More Than Just Numbers: How to Implement a Qualitative Risk Analysis Approach
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It's More Than Just Numbers: How to Implement a Qualitative Risk Analysis Approach

机译：不仅仅是数字：如何实施定性风险分析方法

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摘要

Engineers often feel more comfortable using quantitative methods to solve problems; their approach to risk management is no exception. Quantitative methods are not always the best solution for effective risk management, though. For example, countless hours have been spent by risk management teams trying to determine which risk is more important. Is a risk scored 9.0 any more important than a risk scored 8.5? Maybe so, but the factors that make it more important such are often difficult, if not impossible, to quantify. By applying quantitative techniques to qualitative data, or by using unproven data in complicated risk analysis models, managers may not receive an accurate representation of their 'top' risks and may base critical decisions on poor information. This paper will discuss when qualitative risk analysis techniques are most appropriate, examine common challenges associated with qualitative analysis, and discuss solutions for overcoming them.
机译：工程师通常使用定量方法解决问题感到更自在。他们的风险管理方法也不例外。但是，量化方法并不总是有效风险管理的最佳解决方案。例如，风险管理团队花费了无数小时来确定哪个风险更为重要。得分为9.0的风险比得分为8.5的风险重要吗？也许是这样，但是使它变得更加重要的因素通常很难量化，即使不是不可能的话。通过将定量技术应用于定性数据，或在复杂的风险分析模型中使用未经验证的数据，管理人员可能无法准确地表示其“最高”风险，并可能根据不良信息做出关键决策。本文将讨论什么时候最适合使用定性风险分析技术，研究与定性分析相关的常见挑战，并讨论克服这些挑战的解决方案。

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