Root Cause Analysis: A Framework for Tool Selection
Root Cause Analysis: A Framework for Tool Selection
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DOI：
10.1080/10686967.2005.11919269
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发表时间：
2005-01
影响因子：
--
通讯作者：
Rool Caole
中科院分区：
文献类型：
--
作者：
Rool Caole
本文提供了一个框架，用于分析三种流行的根本原因分析工具的性能：因果图、相互关系图和当前现实树。文献证实，这些工具有能力以不同程度的准确性和质量找到根本原因。然而，文献缺乏根据客观性能标准选择适当根本原因分析工具的方法。根本原因分析工具的一些重要性能特征包括查找根本原因、因果相关性、因素关系和原因类别的能力。根本原因分析工具还必须促进重点，激发讨论，在完成时可读，并具有评估小组调查结果完整性的机制。这项分析发现，每种工具都有优点和缺点，具有不同程度的因果产量和选定的因果因素的完整性。该框架为决策者提供了根本原因分析性能特征的知识，以便他们能够更好地理解推荐解决方案的基本假设。
This article provides a framework for analyzing the performance of three popular root cause analysis tools: the cause-and-effect diagram, the interrelationship diagram, and the current reality tree. The literature confirmed that these tools have the capacity to find root causes with varying degrees of accuracy and quality. The literature, however, lacks a means for selecting the appropriate root cause analysis tool based upon objective performance criteria. Some of the important performance characteristics of root cause analysis tools include the ability to find root causes, causal interdependencies, factor relationships, and cause categories. Root cause analysis tools must also promote focus, stimulate discussion, be readable when complete, and have mechanisms for evaluating the integrity of group findings. This analysis found that each tool has advantages and disadvantages, with varying levels of causal yield and selected causal factor integrity. This framework provides decision makers with the knowledge of root cause analysis performance characteristics so they can better understand the underlying assumptions of a recommended solution.