六西格玛骗局:专业人士欺骗科学的方式

F. Galetto
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引用次数: 4

摘要

统计学用于物理学(以及核科学):如果应用得当,六西格玛是有用的;因此,科学家必须考虑到“正确”的想法。该文件显示了作者的想法,以克服对质量的深刻无知,因为它是在许多书中发现的统计质量控制和六西格玛。很明显,“六SigMONA从业者”提供了许多类型的虚假:他们从不知情的客户那里抢钱。当6σ BMWists说“一家公司的业绩是通过其业务流程的西格玛水平来衡量的”时,他们在撒谎:他们不知道,如果他们从公司的数据中计算出s,他们知道估计是s(不是σ),而且s永远不会等于σ!第一个错误是“变化是质量的敌人”。第二个错误是“减少可变性就是质量”的说法。第三个错误是“正态分布”的广泛使用。第四个错误是“缺陷数量为3.4 ppm”的说法。“6 SigMONA运动”没有很好地处理问题预防,相反,GIQA做的是问题预防。正如作者书中所示,“6个SigMONA应用程序”中缺乏科学性。
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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 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.
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