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Permanent URI for this collectionhttps://hdl.handle.net/11443/932

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Wrong Sigma metric causes chaos
(WALTER DE GRUYTER GMBH, 2022-01-01) Coskun, Abdurrahman
Six Sigma revisited: We need evidence to include a 1.5 SD shift in the extraanalytical phase of the total testing process
(CROATIAN SOC MEDICAL BIOCHEMISTRY \& LABORATORY MEDICINE, 2020-01-01) Coskun, Abdurrahman; Ialongo, Cristiano
The Six Sigma methodology has been widely implemented in industry, healthcare, and laboratory medicine since the mid-1980s. The performance of a process is evaluated by the sigma metric (SM), and 6 sigma represents world class performance, which implies that only 3.4 or less defects (or errors) per million opportunities (DPMO) are expected to occur. However, statistically, 6 sigma corresponds to 0.002 DPMO rather than 3.4 DPMO. The reason for this difference is the introduction of a 1.5 standard deviation (SD) shift to account for the random variation of the process around its target. In contrast, a 1.5 SD shift should be taken into account for normally distributed data, such as the analytical phase of the total testing process