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Defectives V/s (DPMO) With Sigma Level

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Hello Team,





Its been well known to everyone that whenever we have Defects counts of data with samples it is easy to calculate DPMO, DPU, Z bench LT and Z bench ST.






But, when we use "Defectives" data distribution with samples how we can use DPMO in that case to calculate sigma value.












Rajiv N





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Defectives vs DPMO vs Yield vs Sigma Level


Defectives as a data set does not make use of opportunities for error existing in a process. Defective is an entire unit while defects are the number of non conformities, which might be more then one in a unit. Customers generally prefer using defectives data to gauge the performance of a process. Yield (non defectives) is likely to be their prime metric. Process owners need to be detail oriented and generally prefer to use DPMO as their prime metric.



A special case - If there is just one opportunity for error per unit, number of defects and defectives is the same. In such a case, DPMO method provides same sigma level as yield method and conversion is simple - if DPMO is 10000, yield is 99%.


Hope this helps.

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