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Improving quality of statistical process control by dealing with non-normal data in automotive industry

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Improving quality of statistical process control by dealing with non-normal data in automotive industry

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Andrassyova, Z.; Paulicek, T.; Pichña, P.; Kotus, M.; Bas Cerdá, MDC. (2012). Improving quality of statistical process control by dealing with non-normal data in automotive industry. Management Systems in Production Engineering. 3(7):26-30. http://hdl.handle.net/10251/87402

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Title: Improving quality of statistical process control by dealing with non-normal data in automotive industry
Author: Andrassyova, Zuzana Paulicek, Tomas Pichña, Pavol Kotus, Martin Bas Cerdá, María del Carmen
UPV Unit: Universitat Politècnica de València. Departamento de Estadística e Investigación Operativa Aplicadas y Calidad - Departament d'Estadística i Investigació Operativa Aplicades i Qualitat
Universitat Politècnica de València. Centro de Gestión de la Calidad y del Cambio - Centre de Gestió de la Qualitat i del Canvi
Issued date:
Abstract:
[EN] Study deals with an analysis of data to the effect that it improves the quality of staƟsƟcal tools in processes of assembly of automobile seats. Normal distribuƟon of variables is one of inevitable condiƟons for the ...[+]
Subjects: Quality , Statistical control , Hypothesis testing , Probability distribution , Normality , Data transformation
Copyrigths: Reconocimiento (by)
Source:
Management Systems in Production Engineering. (issn: 2299-0461 )
Publisher:
Wydawnictwo Adam Marszałek
Publisher version: http://wydawnictwo.panova.pl/kwartalnik-systemy-zarzadzania-w-inzynierii-produkcji/archiwum.html
Type: Artículo

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