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Process capability indices for non-normal data

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dc.title Process capability indices for non-normal data en
dc.contributor.author Kovářík, Martin
dc.contributor.author Sarga, Libor
dc.relation.ispartof WSEAS Transactions on Business and Economics
dc.identifier.issn 1109-9526 Scopus Sources, Sherpa/RoMEO, JCR
dc.date.issued 2014
utb.relation.volume 11
utb.relation.issue 1
dc.citation.spage 419
dc.citation.epage 429
dc.type article
dc.language.iso en
dc.publisher World Scientific and Engineering Academy and Society (WSEAS)
dc.relation.uri http://wseas.org/wseas/cms.action?id=7655
dc.subject Asymmetric en
dc.subject Capability en
dc.subject Distribution en
dc.subject Index en
dc.subject Method en
dc.subject Process en
dc.subject Transformation en
dc.description.abstract When probability distribution of a process characteristic is non-normal, Cp and Cpk indices calculated using conventional methods often lead to erroneous interpretation of process capability. Various methods have been proposed for surrogate process capability indices (PCIs) under non-normality but few literature sources offer their comprehensive evaluation and comparison, in particular whether they adequately capture process capability under mild and severe departures from normality, and what is the best method to compute true capability under each of these circumstances. We overview 9 methods as to their performance when handling PCI non-normality. The comparison is carried out by simulating log-normal and data and the results presented using box plots. We show performance to be dependent on the ability to capture tail behavior of the underlying distribution. en
utb.faculty Faculty of Management and Economics
dc.identifier.uri http://hdl.handle.net/10563/1003842
utb.identifier.obdid 43872016
utb.identifier.scopus 2-s2.0-84906050366
utb.source j-scopus
dc.date.accessioned 2014-11-06T13:30:53Z
dc.date.available 2014-11-06T13:30:53Z
dc.rights Attribution 4.0 International
dc.rights.uri https://creativecommons.org/licenses/by/4.0/
dc.rights.access openAccess
utb.contributor.internalauthor Kovářík, Martin
utb.contributor.internalauthor Sarga, Libor
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