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In science and engineering, root cause analysis (RCA) is a method of problem solving used for identifying the root causes of faults or problems. [1] It is widely used in IT operations, manufacturing, telecommunications, industrial process control, accident analysis (e.g., in aviation, [2] rail transport, or nuclear plants), medical diagnosis, the healthcare industry (e.g., for epidemiology ...
Root-cause analysis is intended to reveal key relationships among various variables, and the possible causes provide additional insight into process behavior. It shows high-level causes that lead to the problem encountered by providing a snapshot of the current situation.
A root cause is the identification and investigation of the source of the problem where the person(s), system, process, or external factor is identified as the cause of the nonconformity. The root cause analysis can be done via 5 Whys or other methods, e.g. an Ishikawa diagram.
The design or process controls in a FMEA can be used in verifying the root cause and Permanent Corrective Action in an 8D. The FMEA and 8D should reconcile each failure and cause by cross documenting failure modes, problem statements and possible causes. Each FMEA can be used as a database of possible causes of failure as an 8D is developed.
One of the thinking processes in the theory of constraints, a current reality tree (CRT) is a tool to analyze many systems or organizational problems at once. By identifying root causes common to most or all of the problems, a CRT can greatly aid focused improvement of the system.
Root cause analysis is the last and most complex step of event correlation. It consists of analyzing dependencies between events, based for instance on a model of the environment and dependency graphs, to detect whether some events can be explained by others.
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The artificial depth of the fifth why is unlikely to correlate with the root cause. The five whys is based on a misguided reuse of a strategy to understand why new features should be added to products, not a root cause analysis. To avoid these issues, Card suggested instead using other root cause analysis tools such as fishbone or lovebug diagrams.