6 SigMONA versus GIQA.pdf (original) (raw)

Six Sigma Hoax: The Way Professionals Deceive Science

Statistics is used in Physics (and in Nuclear Science as well): Six Sigma can be useful if properly applied; therefore scientists have to take into account the " correct " ideas. The document shows the ideas of the author to overcome the deep ignorance on Quality as it is found in many books dealing with Statistical Quality Control and Six Sigma. It is evident that there are many types of falseness provided by the " 6 SigMONA practitioners " : they rob money from their clients that are not aware of that. When the 6σ BMWists say " A company's performance is measured by the sigma level of their business processes " they lie: they do not know that, IF they compute s from the company's data, they know the estimate s (NOT σ) AND s is never equal to σ! The 1 st falseness is the statement " variation is the enemy of Quality ". The 2 nd falseness is the statement " variability reduction is Quality ". The 3 rd falseness is the widespread use of the " Normal Distribution ". The 4 th falseness is the statement " the number of defectives is 3.4 ppm ". The " 6 SigMONA movement " does not deal properly with problem prevention, as on the contrary is done by GIQA. Scientificness is absent in the " 6 SigMONA applications " as shown in the authors books.

Six Sigma Challenge Case

Six Sigma can be useful if properly applied; Researchers/Practitioners have to take into account the “correct” ideas. There is deep ignorance on Quality as it is found in many books dealing with Statistical Quality Control and Six Sigma. It is evident that there are many types of falseness pro-vided by the “6 SigMONA practitioners”: many users are not aware of that. When the 6s BMWists say “A company’s performance is measured by the sigma level of their business processes” they lie: they do not know that, IF they compute s from the company’s data, they know the estimate s (NOT sigma) AND s is never equal to sigma! The 1st falseness is the statement “variation is the enemy of Quality”. The 2nd falseness is the statement “variability reduction is Quality”. The 3rd falseness is the wide-spread use of the “Normal Distribution”. The 4th falseness is the statement “the number of defectives is 3.4 ppm”. The “6 SigMONA movement” does not deal properly with problem prevention ..... Is anybody able to develop products with unreliability=3.4 ppm for 1000h????

Rare Events Six Sigma Hoax against Quality, by Professionals fond of money and not of Quality

Statistics is used in Physics: Six Sigma can be useful if properly applied; therefore scientists have to take into account the “correct” ideas. The document shows the ideas of the author to overcome the deep ignorance on Quality as it is found in many books dealing with Statistical Quality Control and Six Sigma. It is evident that there are many types of falseness provided by the “6 SigMONA practitioners”: they rob money from their clients that are not aware of that. When the 6 BMWists say “A company’s performance is measured by the sigma level of their business processes” they lie: they do not know that, IF they compute s from the company’s data, they know the estimate s (NOT ) AND s is never equal to ! The 1st falseness is the statement “variation is the enemy of Quality”. The 2nd falseness is the statement “variability reduction is Quality”. The 3rd falseness is the wide-spread use of the “Normal Distribution”. The 4th falseness is the statement “the number of defectives is 3.4 ppm”. The “6 SigMONA movement” does not deal properly with problem prevention, as on the contrary is done by GIQA. Scientificness is absent in the “6 SigMONA applications” as shown in the authors books.

Six Sigma - a New Approach of Quality

2005

The term six sigma was elaborated by Motorola Corp, in the early ‘80s, after a visit in Japan. The method’s application with this name has reduced the fabrication deficiencies with 99,7%, thus, in 1998, Motorola Corp. was one of the first companies to receive The Quality National Award in USA, “Malcolm Baldrige”. Then the method was used by other companies