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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 ...
The analysis that studies ODC data is performing the first pass of root cause analysis, which is confirmed by discussing the results with the development team. This approach has five primary differences between the classical method and the ODC method. [9] Root cause analysis is just one of the applications of ODC.
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.
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 P-Course (P stands for Production) is a practical training program about Industrial Engineering implemented to teach the main techniques for industrial work improvement (改善 "kaizen" in Japanese). Although especially aimed at applications in manufacturing, it can be useful also to transfer the core concepts of systematic improvement ...
The Human Factors Analysis and Classification System (HFACS) identifies the human causes of an accident and offers tools for analysis as a way to plan preventive training. [1]
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