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Six Sigma pp 189–197Cite as

Statistische Anforderungen des Six Sigma Konzepts

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Zusammenfassung

Das Ziel dieses Artikels besteht darin, die zum Verständnis der Six Sigma Initiative in der Qualitätssicherung notwendigen mathematisch-statistischen Grundlagen problemorientiert darzustellen. Dabei wird besonderer Wert auf die Zusammenhänge zwischen dem Six Sigma Ansatz und diversen Varianten der Prozessfahig-keitsindizes gelegt. Ein Anwendungsbeispiel zeigt Einsatzmöglichkeiten und Grenzen der Methodik.

Six Sigma is a gauge of quality efficiency, and a measure of excellence. It is a process quality goal that comes out of statistical probability measyrement and process capability technique (Patricia O’Rourke).

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Literatur

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  • O’Rourke, P. (1999): Using Six Sigma in Safety Metrics, HRfocus Newsletter July 1999.

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  • Rinne, H./Mittag, H.J. (1991): Statistische Methoden der Qualitätssicherung, 2. Aufl., Hanser 1991.

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Authors
  1. Bernhard Schipp
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  2. Armin Töpfer
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Editor information

Editors and Affiliations

  1. Lehrstuhl für Marktorientierte Unternehmensführung, Fakultät der Wirtschaftswissenschaften, TU Dresden, Helmholtzstraße 10, 01062, Dresden, Deutschland

    Armin Töpfer

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© 2004 Springer-Verlag Berlin Heidelberg

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Schipp, B., Töpfer, A. (2004). Statistische Anforderungen des Six Sigma Konzepts. In: Töpfer, A. (eds) Six Sigma. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-662-09912-4_6

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  • DOI: https://doi.org/10.1007/978-3-662-09912-4_6

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-662-09913-1

  • Online ISBN: 978-3-662-09912-4

  • eBook Packages: Springer Book Archive

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