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A Weighting Multivariate Process Capability Index

Authors: Shaoxi Wang;

A Weighting Multivariate Process Capability Index

Abstract

Process quality ultimately decides on the quality of electronic products. Based on analyzing and improving process capability index (PCI), microelectronics process quality of electronic products may be effectively assured. Nowadays with the rapid development in microelectronics process, Quality evaluation of processes concerns more than one quality characteristics, microelectronics process quality evaluation concerns multi quality characteristics, therefore univariate PCI is difficultly used to synthetically analyze microelectronics process quality. The paper presents a multivariate PCI based on weight factor, which provides references for assuring and improving process quality while achieving overall evaluation of process quality and is not limited to the variable number. An example of calculating multivariate PCI (MPCI) is given. Real application shows that the method presented is effective and actual.

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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!
1
Average
Average
Average
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