Multivariate process capability index with spatial coefficient modification

Mingxin Wang, Shaoxi Wang, Shengbing Zhang, Xiaoya Fan

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

Process capability ultimately decides process quality level. Based on analyzing process capability index (PCI), process capability may be effectively assured. For the multivariate manufacturing processes, tremendous difficulties are often encountered when one attempts to measure the process capability by directly extending the univariate approach. The paper presents a modify spatial multivariate PCI method, which can solve multivariate off-centered case and may provide references for assuring and improving process quality level while achieving overall evaluation of process quality. At last, examples for calculating multivariate PCI are given and the experimental results show that the systematic method presented is effective and actual.

Original languageEnglish
Title of host publicationProceedings - 2012 3rd International Conference on Digital Manufacturing and Automation, ICDMA 2012
Pages550-552
Number of pages3
DOIs
StatePublished - 2012
Event2012 3rd International Conference on Digital Manufacturing and Automation, ICDMA 2012 - Guilin, Guangxi, China
Duration: 31 Jul 20122 Aug 2012

Publication series

NameProceedings - 2012 3rd International Conference on Digital Manufacturing and Automation, ICDMA 2012

Conference

Conference2012 3rd International Conference on Digital Manufacturing and Automation, ICDMA 2012
Country/TerritoryChina
CityGuilin, Guangxi
Period31/07/122/08/12

Keywords

  • multivariate
  • off-center
  • process capability index

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