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Patterns of Causation in Accidents and Other Systems Engineering Failures

机译:事故的因果模式和其他系统工程故障

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Project failures occur despite the industry's best systems engineering efforts. Detailed information on project failures is difficult to find, which makes it difficult to study or understand their causes and hence to identify ways to prevent future failures. In contrast, many accidents have extensive investigations with public reports. To determine whether lessons from accidents can also be used to prevent other types of failures, we compared the causes of accidents and project failures. Our sample consisted of 30 accidents and 32 non-accidents, ranging across various industries. We extracted causes from the reports on accidents and project failures, and analyzed these causes by framing them in a common "actor-action-object" structure. We discarded the details particular to each failure (e.g., the particular component that was affected) to allow us to focus on the underlying problem (e.g., components were not properly maintained). Next, we extracted the particular actions involved in each cause (e.g., failed to maintain). Ten, or just under half of the 22 problematic actions we identified were equally likely to appear in accidents or project failures (95% confidence interval). Of the remaining twelve actions, the majority can be reasonably attributed at least in part to differences in investigation style between accidents and non-accidents. Some differences occur because of when accidents and non-accidents tend to happen. Poor maintenance was rarely an issue in non-accidents, because most project failures occur long before maintenance becomes a concern. Finally, actions involving regulations, procedures, or training were cited more often in accidents, reflecting the greater number and extent of regulations, procedures, or training related to safety.
机译:尽管业界最佳的系统工程努力,但项目故障可能发生。有关项目故障的详细信息很难找到,这使得难以研究或理解其原因,从而识别防止未来失败的方法。相比之下,许多事故与公开报告有广泛的调查。为了确定事故的课程是否也可用于防止其他类型的失败,比较事故和项目失败的原因。我们的样本由30名事故和32名非事故组成,包括各种行业。我们从报告中提取了关于事故和项目失败的报告,并通过在普通的“演员 - action-object”结构中来分析这些原因。我们丢弃了每个失败的细节(例如,受影响的特定组成部分),以便我们专注于潜在的问题(例如,没有正确维护组件)。接下来,我们提取了每个原因所涉及的特定操作(例如,未能维护)。在我们确定的22例问题行动的十分之一或仅下降的一半,同样可能出现在事故或项目失败(95%置信区间)。在其余十二份行动中,多数人可以合理地归因于事故与非事故之间的调查风格的差异。有些差异发生,因为当事故和非事故往往发生时。维护不良很少是非事故中的问题,因为大多数项目故障发生在维护之前很长。最后,涉及法规,程序或培训的行动更常见于意外,反映了与安全相关的规定,程序或培训的数量和程度更大。

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