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Nonparametric Statistical Process Control

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61989100%3A27360%2F17%3A10237950" target="_blank" >RIV/61989100:27360/17:10237950 - isvavai.cz</a>

  • Result on the web

  • DOI - Digital Object Identifier

Alternative languages

  • Result language

    angličtina

  • Original language name

    Nonparametric Statistical Process Control

  • Original language description

    Control chart is the basic tool of the statistical process control (SPC). The SPC is an integral part of the production management necessary for achieving a high product quality. Just the quality of the product decides the customer satisfaction and thus the success of the whole organization. Classical Shewhart control charts can be used only if there are met certain basic assumptions. These assumptions include data normality, independence and constant mean and variance. In practice, those assumptions about the data are not always met. In the case that these conditions are not met, there may be used non-parametric and robust control charts. This article aims to define the difference between robust and non-parametric methods. Other aim of this article is to define the various deviations from normality that cause problems in the use of classical parametric methods of statistical process control. At the end of this article, selected non-parametric control charts are presented on a specific case.

  • Czech name

  • Czech description

Classification

  • Type

    D - Article in proceedings

  • CEP classification

  • OECD FORD branch

    50204 - Business and management

Result continuities

  • Project

  • Continuities

    S - Specificky vyzkum na vysokych skolach

Others

  • Publication year

    2017

  • Confidentiality

    S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Data specific for result type

  • Article name in the collection

    Management and economics in manufacturing : proceedings of the 10th global scientific conference : October 5-6, 2017, Zvolen, Slovak Republic

  • ISBN

    978-80-228-2993-9

  • ISSN

  • e-ISSN

    neuvedeno

  • Number of pages

    7

  • Pages from-to

    252-258

  • Publisher name

    Publishing House of the Technical University in Zvolen

  • Place of publication

    Zvolen

  • Event location

    Zvolen

  • Event date

    Oct 5, 2017

  • Type of event by nationality

    WRD - Celosvětová akce

  • UT code for WoS article