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Leading edge manufacturing strategies : SPC, TQM, JIT ; proceedings of the 5. European Automan Conference ; 9 - 11 May 1989 Birmingham, UK
Dale, Barrie G. (contributor) - In: Automated manufacturing : proceedings of the ... … 5 (1989)
Persistent link: https://www.econbiz.de/10004122502
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Improving quality through planned experimentation
Moen, Ronald D.; Nolan, Thomas W.; Provost, Lloyd P. - 1991
Persistent link: https://www.econbiz.de/10004113940
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Six Sigma+Lean Toolset : Verbesserungsprojekte erfolgreich durchführen
Roenpage, Olin - 2007 - 2., überarbeitete Auflage
Persistent link: https://www.econbiz.de/10004882547
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Six Sigma+Lean Toolset : Verbesserungsprojekte erfolgreich durchführen
John, Alexander - 2006
Persistent link: https://www.econbiz.de/10004882613
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Six Sigma : Konzeption und Erfolgsbeispiele für praktizierte Null-Fehler-Qualität
Töpfer, Armin - 2007 - Vierte, aktualisierte und erweiterte Auflage
Persistent link: https://www.econbiz.de/10004889145
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Design for Six Sigma+Lean Toolset : Innovationen erfolgreich realisieren
Mollenhauer, Jens-Peter - 2007
Persistent link: https://www.econbiz.de/10004900102
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Six Sigma Performance Measurement System : Prozesscontrolling als Instrumentarium der modernen Unternehmensführung
Tavasli, Serkan - 2008
Persistent link: https://www.econbiz.de/10004921301
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The 'effective variance' control chart for monitoring the dispersion process with missing data
Garcia-Diaz, J. Carlos - In: European Journal of Industrial Engineering 1 (2007) 1, pp. 40-55
In the last few years, multivariate quality control has been thoroughly studied. The control of the population means vector is usually obtained by using multivariate control charts developed for this purpose. Nevertheless, when the goal is the efficient control of the covariance matrix, few...
Persistent link: https://www.econbiz.de/10005754445
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The 'effective variance' control chart for monitoring the dispersion process with missing data
Garcia-Diaz, J. Carlos - In: European Journal of Industrial Engineering 1 (2007) 1, pp. 40-55
In the last few years, multivariate quality control has been thoroughly studied. The control of the population means vector is usually obtained by using multivariate control charts developed for this purpose. Nevertheless, when the goal is the efficient control of the covariance matrix, few...
Persistent link: https://www.econbiz.de/10008563616