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Six Sigma Hoax: The Way Professionals Deceive Science

Received: 21 February 2017    Accepted: 27 March 2017    Published: 05 May 2017
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Abstract

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 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.

DOI 10.11648/j.ns.20170203.11
Published in Nuclear Science (Volume 2, Issue 3, September 2017)
Page(s) 59-81
Creative Commons

This is an Open Access article, distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution and reproduction in any medium or format, provided the original work is properly cited.

Copyright

Copyright © The Author(s), 2024. Published by Science Publishing Group

Keywords

Six Sigma, Scientific Approach, Quality Education, Quality Methods, Rational Manager, Quality Tetralogy, Intellectual Honesty

References
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Author Information
  • Independent Scholar, Buccinasco (Milan), Italy

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    Fausto Galetto. (2017). Six Sigma Hoax: The Way Professionals Deceive Science. Nuclear Science, 2(3), 59-81. https://doi.org/10.11648/j.ns.20170203.11

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  • @article{10.11648/j.ns.20170203.11,
      author = {Fausto Galetto},
      title = {Six Sigma Hoax: The Way Professionals Deceive Science},
      journal = {Nuclear Science},
      volume = {2},
      number = {3},
      pages = {59-81},
      doi = {10.11648/j.ns.20170203.11},
      url = {https://doi.org/10.11648/j.ns.20170203.11},
      eprint = {https://download.sciencepg.com/pdf/10.11648.j.ns.20170203.11},
      abstract = {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 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.},
     year = {2017}
    }
    

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  • TY  - JOUR
    T1  - Six Sigma Hoax: The Way Professionals Deceive Science
    AU  - Fausto Galetto
    Y1  - 2017/05/05
    PY  - 2017
    N1  - https://doi.org/10.11648/j.ns.20170203.11
    DO  - 10.11648/j.ns.20170203.11
    T2  - Nuclear Science
    JF  - Nuclear Science
    JO  - Nuclear Science
    SP  - 59
    EP  - 81
    PB  - Science Publishing Group
    SN  - 2640-4346
    UR  - https://doi.org/10.11648/j.ns.20170203.11
    AB  - 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 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.
    VL  - 2
    IS  - 3
    ER  - 

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