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Gauge imprecision and multivariate process capability analysis

Authors: SCAGLIARINI, MICHELE;

Gauge imprecision and multivariate process capability analysis

Abstract

Alternative definitions of Multivariate Process Capability Indices (MPCIs), based on different approaches, have been proposed in literature. The research works related to MCPIs assume no gauge measurement errors. However, in industrial applications, despite the use of highly advanced measuring instruments, account needs to be taken of gauge imprecision. In this paper we study the effects of measurement errors on multivariate capability indices computed using the principal components analysis. The results show that measurement errors can alter the results of a multivariate process capability analysis.

Country
Italy
Keywords

MULTIVARIATE PROCESS CAPABILITY INDICES; PRINCIPAL COMPONENTS ANALYSIS; MEASUREMENT ERROR

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Powered by OpenAIRE graph
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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
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