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Six sigma (6s) is a method quality management, in order to achieve as error free a process as possible. The international standards (like ISO 16949 or ISO 9000ff) describe the requirements, WHAT must be converted, Six sigma offers tools, AS it can happen.
Six sigma sets in particular on an analysis of the actual process, in order to recognize and for an objective statistic analysis to make the parameter, possibilities of error important for the process and process characteristic numbers accessible. The comprehensibleness with the analysis, decision making and with the proof of project success takes special value with Six sigma.
Some enterprises expect proofs over Six sigma quality in the production processes from their suppliers, with which it is to be proven that the supplier produces its goods qualitatively high-quality.
The sigma corresponds to the standard deviation of the Gauss normal distribution. From the number of errors during a process the sigma level can be determined by tables or statistical programs. The following list places the number of errors per one million of produced units to the sigma levels (or also: DPMO = defects by million opportunities) opposite:
1 691.462 30,85375% 2 308.537 69,14625% 3 66.807 93,31928% 4 6.210 99,37903% 5 233 99,97673% 6 3,4 99,99966%
(* DPMO and yield with a one-sided view of the normal distribution; a larger dispersion in the long-term behaviour is already considered by a shift around 1,5 sigma)
Six sigma in the statistic sense expresses thus that under one million possibilities of error (not parts) are to be found less than 4 errors. In production this means that practically a zero-error production is present. According to estimations the quality management methods without Six sigma lie with yields within the range of 3s to 4s. Better results are considered with difficulty possible with conventional process improvement methods only. For some critical ranges even 6s is still too error-prone, e.g. with airlines or electricity enterprises.
Six sigma assumes that the errors of the processes always follow the Gauss (symmetrical) normal distribution. Very frequently however an asymmetrical "logarithmic normal distribution" results.
In this case a wrong (useless) sigma was calculated.
http://de.wikipedia.org/wiki/Logarithmische_Normalverteilung pours
In order to accomplish Six sigma projects in an enterprise, standardized training courses are offered, those according to participant their requirements qualify.
The designations orient themselves thereby at Japanese kinds of combat haven:
Forerunners of Six sigma were introduced to the 1970ern in Japanese shipbuilding, later into Japanese electronics and consumer goods industry. Six sigma in the middle of the 80's in the USA was developed with Motorola, whereby it is implemented meanwhile world-wide by numerous enterprises. The largest popularity attained Six sigma philosophy by successes with General Electric (GE). These successes are strongly connected with the name Jack what, which implemented Six sigma at that time with GE. After this method found at the beginning of only in production an application, it found to stronger introduction in the service and service range in the last years ever. Besides is tried at present, Six sigma on wider ranges as to be e.g. adapted the distribution or the banking.
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