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Metallurgical failure analysis is the process to determine the mechanism that has caused a metal component to fail.It can identify the cause of failure, providing insight into the root cause and potential solutions to prevent similar failures in the future, as well as culpability, which is important in legal cases. [1]
Sample Ishikawa diagram shows the causes contributing to problem. The defect, or the problem to be solved, [1] is shown as the fish's head, facing to the right, with the causes extending to the left as fishbones; the ribs branch off the backbone for major causes, with sub-branches for root-causes, to as many levels as required.
A design failure modes and effects analysis, DFMEA, is a structured qualitative analysis of a system, subsystem, device design to identify potential failure modes and their effects on correct operation. The concept and practice of performing a DFMEA, has been around in some form since the 1960s.
Failure analysis is the process of collecting and analyzing data to determine the cause of a failure, often with the goal of determining corrective actions or liability. According to Bloch and Geitner, ”machinery failures reveal a reaction chain of cause and effect… usually a deficiency commonly referred to as the symptom…”. [ 1 ]
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 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.
Some analysts [5] seem to equate PCM to design-to-cost. [6] Some practitioners of PCM are mostly concerned with the cost of the product up until the point that the customer takes delivery (e.g. manufacturing costs + logistics costs) or the total cost of acquisition. They seek to launch products that meet profit targets at launch rather than ...
Causal analysis is the field of experimental design and statistics pertaining to establishing cause and effect. [1] Typically it involves establishing four elements: correlation, sequence in time (that is, causes must occur before their proposed effect), a plausible physical or information-theoretical mechanism for an observed effect to follow from a possible cause, and eliminating the ...